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    c o n f e r e n c e c o n f e r e n c e Document Transcript

    • Hilton Union SqUare • San franciSco, ca conference March 14-18, 2010 ExplorE lEarn Grow produced by: platinum sponsor: gold sponsors: __ silver sponsors: ___________ EWSolutions
    • Enterprise Data World is a great value! !eulav taerg a si ExplorE the entire range of data collaboratE & nEtWork with 1000 management topics in one place… of your colleagues—swap stories, build Metadata, MDM, EIM, SOA, Modeling… relationships, and find out how your it’s all here. Over 200 hours of instruction. methods measure up. lEarn in a variety of session types and aDvancE your career by becoming a formats—full-day tutorials, field reports, Certified Data Management Professional. contentious panels, SIG discussions and Already certified? The conference is bleeding-edge insights are all part of approved for your continuing education the mix. contact hours. ExpEriEncE an intensive professional development opportunity and collect the Watch the bottom line—EDW’s information your organization needs to cost-per-day is 20-40% less than other make strategic decisions - in just 5 days! conferences. GroW from in-depth information catering EDucatE the team with our amazing to the full range of roles: business and IT, group discount: Send three team members entry-level to expert. and a fourth attends free! comparE the industry’s leading products at the exhibits. What the business Wants thursday, 11:10 am - 12:30 pm Graeme c. Simsion Principal, Simsion & Associates Level: Business Ask iT professionals to nominate their biggest challenge, and it’s unlikely to be technical. Since the earliest days of information systems, management support - or the lack of it - has been the problem. Efforts at persuasion and “internal marketing” have often been amateurish and ineffective; hardly surprising as most iT people are not sales professionals. And any professional sales person would tell us that we are making the most fundamental mistake of all: focusing on the product rather than the client. So let’s take some time out to look at the client. We’ll ask: • Who are these “business” managers? • What do they want? • Why are they resistant to our ideas? Why are they rejecting our help? • How do we connect with them? • Can we meet their needs? • What does that mean for our goals? • • • AdditionAl keynote speAkers will be Announced At A lAter time –– be sure to check bAck • • • 2 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • SPonSoRS & EXHiBiTS PLATINUM SPONSOR ASG is the industry leading provider of enterprise Metadata Management solutions. ASG-Rochade® is a powerful metadata repository that manages information about data and systems across the enterprise, uncovering complex relationships between information technology assets, facilitating what-if analysis, and increasing the productivity of business and IT. ASG-metaGlossary™ is a business glossary solution that provides a governed and contextually rationalized vocabulary between business and IT to help proactively address data governance and compliance mandates. Founded in 1986, ASG offers software solutions in the Metadata Management, Applications Management, Operations Management, Information Management, Performance Management, Infrastructure Management and Service Support areas. www.asg.com ASG provides these solutions to more than 85 percent of the world’s largest companies, enabling them to reduce costs, improve business-service delivery, and reduce risks. With more than 90 offices worldwide, ASG is a privately held company based in Naples, Florida. Visit www.asg.com to learn more. GOLD SPONSORS Adaptive has been in the market Progress Software Corpora- EWSolutions, headquartered for more than a decade providing tion (NASDAQ: PRGS) is in Chicago, is a full-service comprehensive, extensible, scalable a global software company strategic consulting & systems www.datadirect.com metadata repository products and that enables enterprises to development partner providing www.adaptive.com services. Adaptive’s repository be operationally responsive to changing conditions and customer EWSolutions corporations and government products support a range of data interactions as they occur – to capitalize on new opportunities, agencies with best-in-class, management initiatives including managing regulatory compliance, www.ewsolutions.com advancing data governance and stewardship, improving the quality drive greater efficiencies and reduce risk. The company offers a knowledge-based solutions of business intelligence solutions, and implementing enterprise comprehensive portfolio of best-in-class infrastructure software using business intelligence, data business semantics. Adaptive leverages industry standards to inte- spanning event-driven visibility and real-time response, open warehousing, and managed meta data environment technologies. grate with the broadest set of metadata sources. Adaptive’s power- integration, data access and integration, and application develop- EWSolutions delivers a total solution for designing, building, ful query capability provides quick and visual understanding of ment and deployment – all supporting on-premises and SaaS/ maintaining, or improving an enterprise architecture, business data lineage and impacts of change. Adaptive’s customers benefit Cloud deployments. Progress maximizes the benefits of operational intelligence, data warehouse and meta data repository investment to from increased confidence in the information produced by their IT responsiveness while minimizing IT complexity and total cost attain a competitive business advantage and achieve total value. systems along with improved IT development productivity. of ownership. Progress can be reached at www.progress.com or 1-781-280-4000. Sybase is the largest enterprise The CA ERwin® modeling family has been the name associated software and services company with data modeling for years. Today, DataFlux enables organiza- exclusively focused on managing we offer much more than just data tions to analyze, improve and and mobilizing information. With modeling and we’ve expanded our of- control their data through our global solutions, enterprises fering to include data profiling, model www.dataflux.com www.erwin.com an integrated technology www.sybase.com can extend their information validation, process modeling, ERP platform. With DataFlux enter- securely and make it useful for integration, metadata management, prise data quality and data integration products, organizations can people anywhere using any device. The world’s most critical data and model management. CA (NASDAQ: CA), the world’s leading more effectively and efficiently build a solid information founda- in commerce, communications, finance, and government runs on independent information technology (IT) management software tion that delivers a unified view of customers, products, suppliers Sybase. For more information, visit www.sybase.com. Sybase company, provides software to unify and simplify the management or any other corporate data asset. DataFlux customers can rapidly PowerDesigner, the industry-leading data modeling tool, provides of complex computing environments. Today, we are working with assess and improve problematic data, building the foundation for a model-driven approach to empower and align business and IT. the majority of the Forbes Global 2000, as well as government data governance, compliance and master data management initia- PowerDesigner enables enterprises to more easily visualize, ana- organizations and thousands of companies in diverse industries tives. Visit www.dataflux.com to learn more. lyze and manipulate metadata for effective enterprise information worldwide to transform IT management. architecture. Denodo, the recognized innovator Data Advantage Group, Inc. is of virtual data integration, delivers a leading provider of enterprise in- formation asset management soft- a single platform that combines data integration and Web process Exhibit hours ware. Data Advantage Group’s www.denodo.com www.dag.com award-winning MetaCenter automation to enable real-time in- tuesday, March 16, 2010 tegration of internal, external/Web, structured and unstructured data Platform enables organizations to using a non-intrusive and light-weight approach that is significantly reception 5:00PM– 8:00PM easily research, locate, and catalog information assets and to bridge less expensive, faster and more flexible than traditional approaches. the gap between business and IT communities. The MetaCenter Leading companies use Denodo across the enterprise to get data Wednesday, March 17, 2010 Platform is used by leading companies around the world to deliver easy to use web-based data governance and metadata management services for SOA, Competitive & Business Intelligence, Customer 12:00PM– 3:30PM Portals and Mashups, Contact Centers, B2B Web Automation and solutions. much more. For more information visit www.denodo.com. SILVER SPONSORS EXHIBITORS Red C 0 M 100 Y 90 K www.collibra.com www.melissadata.com www.abinitio.com www.embarcadero.com www.globalids.com www.intellidimension.com www.dama.org www.metaintegration.net www.mkp.com www.topquadrant.com www.trilliumsoftware.com www.softlakesolutions.com www.talend.com www.silwoodtechnology.com EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 3
    • AgEndA AT A glAnCE SunDay, march 14 10:00 AM –1:00 PM cDmp Exam preparation patricia cupoli, dAMA international 3:30 PM – 6:45 PM W1: Quality by Design: Data W2: agile Database Development W3: normalization - the achilles W4: inevitable Scenarios and W5: re-Energizing Data Workshops integration Design techniques For Pramod Sadalage, Thoughtworks Inc. heel of Data modeling challenges in Data integration management, Governance and improved information Quality Gordon Everest, University of Minnesota Efforts & how to Deal With them modeling in your organization Andres Perez, IRM Consulting, Ltd. Co. Len Silverston, Universal Data Models, LLC Janine Stevens, Sabre Holdings Inc. Glenn Harper, Sabre Holdings Inc. 7:00 PM – 8:00 PM tainted truth: how to metadata management 101 Why does master Getting What you Deserve: Generating xml Schemas night School read industry research with hands-on Scenarios Data management Fail? 7 Steps to Gain respect in your from a canonical model - Neil Raden, Hired Brains Louis Darden, Sue Geuens (Turner), Edge Consulting organization a practical Example Health Management Corporation Rob Drysdale, InfoAdvisors George McGeachie, Metadata Matters Ltd. monDay, march 15 8:30 AM – 4:45 PM t1: master Data management t2: Data management t3: Data protection & Security t4: Data Warehouse rescue t5: how to Successfully tutorials David Loshin, Knowledge Integrity in the cloud management as a critical Neil Raden, Hired Brains implement Enterprise Malcolm Chisholm, Askget.com Inc . part of Governance information management David Schlesinger, Metadata Security LLC David Marco, EWSolutions 5:00 PM – 6:00 PM Deciding the case for Data applying Six Sigma to master Dama-Dmbok Working the Fine art of accelerating Data night School Quality investments Data management (mDm) Session - chapter 6 Data Security metadata harvesting modeling results by Frank Bernhard, OMNI Consulting Group Joe Danielewicz, management John Friedrich, Meta Integration Technology, Inc. Drilling into the process Joe Danielewicz Consulting, LLC Susan Earley, U.S. Cellular Christian Bremeau, Oliver Smith, QBE the Americas Meta Integration Technology, Inc. 6:15 PM - 7:15 PM Dama meeting: open to all dama members and interested parties tuESDay, march 16 7:30 AM – 8:15 AM Strengthening Service applying agile Software metadata on a Dime: how promoting and managing learning Strategies for oriented architectures (Soa) Engineering principles to to Simply and iteratively Deliver the Data Warehouse as a Getting certified with Semantics Data Governance an Enterprise metaData retail business Francine Adams, John Hebeler, BBN Technologies Martin Moseley, Initiate Systems repository using agile Arvind Shah, ICCP & Silotech Group Development methods Performance Development Corporation Sharon Asmus, Werner Enterprises 8:30 AM – 9:45 AM kEynotE 9:45 AM – 10:15 AM coffee break 10:15 AM – 11:15 AM monitor the Quality of your building a business case for terms of Engagement: Where technical introduction to the the challenges of managing master Data Data on the cloud business and it meet in the national information Exchange Emerging Semantic Thomas Ravn, Platon US Inc. Alex Rosen, MomentumSI Governance arena model (niEm) technology projects Ian Rowlands, ASG Donna Roy, Enterprise Data Management Jeff Jin, University of Texas Office / NIEM Project Management Office M. D. Anderson Cancer Center 11:30 AM – 12:30 PM Data.gov: answering the Demand Wikify your metadata! Why Facebook Games improving it Service Semantics for Social Search: for open Government Data integrating business Semantics, are taking over my life Delivery through an Easy to build, hard to buy Suzanne Acar, metadata Discovery, and Dave Menninger, Vertica Systems, Inc. Electronic Service catalog Christine Connors, TriviumRLG LLC U.S. Federal Data Subcommittee knowledge management Kai Holthaus, McKesson Corporate IT Kevin Lynch, Raytheon Missile Systems John Biderman, Harvard Pilgrim Health Care Brandy DeMarco, McKesson Corporate IT Cameron McLean, World Class Objects 12:30 PM – 1:45 PM break for lunch. Please note that lunch will not be served 1:45 PM – 2:15 PM your cloud, my cloud, any cloud martin Schneider, SugarCRM 2:30 PM – 3:30 PM the hillman Group Finds operationalizing bi and adopting the Dmbok - the Data management challenge: utilizing the Federal Supply chain Success through bi Data integration in the cloud the tEluS experience Google, microsoft, ibm and Enterprise architecture to technology: a case Study John Bair, LaunchPoint Mike Beauchamp, TELUS oracle in Enterprise Search open up the Government - Jim Honerkamp, The Hillman Group Mike Pittaro, SnapLogic Stephen Arnold, Arnold Information Technology a private citizen’s Guide to Government Data Dean Allemang, TopQuadrant 3:30 PM – 4:00 PM coffee break 4:00 PM – 5:00 PM Governance Strategy for abstract Data models for how Do you know your master Data management measuring the business Successful bi technology Data Services and Software architecture plans are Evolution - a case Study of impact of Data Governance management as a Service meeting business needs? Finance master Data Tony Fisher, DataFlux Sam Paper, Bank of America David Roberts, Central Intelligence Agency William Wimsatt, Wells Landers Group Vanitha Srinivasan, Intel Corporation Walid El Abed, Global Data Excellence Ltd. David J. Paper, Utah State University 5:00 PM – 8:00 PM Exhibits open and conference reception 4 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • AgEndA AT A glAnCE SunDay, march 14 cDmp Exam preparation patricia cupoli, dAMA international 10:00 AM –1:00 PM W6: Data management on a W7: introduction to the Semantic W8: Decision models and W9: Semantic modeling for W10: Data Services 3:30 PM – 6:45 PM Shoestring – “Strategies for Web and ontologies business rules: Everything Data Enterprise Data architecture & virtualization Workshops Eim when money is tight” Dave McComb, Semantic Arts Inc. professionals need to know Ken Orr, The Ken Orr Institute Robert J Abate, Intellisys, Inc. John Ladley, IMCue Solutions Simon Robe, Semantic Arts Inc. Ronald Ross, Business Rule Solutions LLC Peter Aiken, VCU/Data Blueprint Gladys Lam, Business Rule Solutions, LLC 7:00 PM – 8:00 PM night School monDay, march 15 t6: Enterprise metadata t7: Data modeling in the t8: the Fundamental t9: Data modeling challenges t10: linked Data for 8:30 AM – 4:45 PM management - bringing order Enterprise-wide vs. the Quality principles applied to total Within trends and technology the Web and the Enterprise tutorials to the Structured and Development project context information Quality management Steve Hoberman, David Wood, Zepheira unstructured Worlds William Smith, Larry English, Information Impact Int’l Inc. Steve Hoberman & Associates Mike Ferguson, William G. Smith & Associates Intelligent Business Strategies Ltd. Social karma: the art of reducing the cost and Scoping metadata management integrating Web Data and Semantic Web technologies 5:00 PM – 6:00 PM Effectively using Social complexity of business analytics Mark Mosley, EWSolutions traditional business Data for Enterprise applications night School media in business Ronald Shelby, IBM Global Services Dawn Michels, Target Corporation Shamod Lacoul, Independent Jim Harris, Obsessive-Compulsive Data Quality Dama meeting 6:15 PM - 7:15 PM tuESDay, march 16 Data modeling vs. object 7:30 AM – 8:15 AM orientated programming. Spanning the Divide. Paul Agnew, Universal Data Models kEynotE 8:30 AM – 9:45 AM coffee break 9:45 AM – 10:15 AM using a common Data model managing Data as a 10:15 AM – 11:15 AM for both bi and messaging corporate asset - an oil Jeff Pekrul, Genentech, Inc. company perspective Ted McKinnon, Genentech Inc. Frans Liefhebber, Royal Dutch Shell how to ask for money for your Developing and Executing a 11:30 AM – 12:30 PM Data management projects Global Data Strategy Jeanne Laughlin, Data Blueprint John Carter, Equifax, Inc. break for lunch. Please note that lunch will not be served 12:30 PM – 1:45 PM your cloud, my cloud, any cloud martin Schneider, SugarCRM 1:45 PM – 2:15 PM From the Whiz kids to the modeling the Enterprise – Security, Governance, 2:30 PM – 3:30 PM numerati: Shifting it from a practical approach and the information lifecycle being technology-centric to Matt Creason, Sybase, Inc. Ronda Henning, Harris Corporation information-centric Neil Hepburn, Hepburn Data Inc. coffee break 3:30 PM – 4:00 PM private Data and the public the compliant cloud 4:00 PM – 5:00 PM Data cloud: Why mixing public Marne Gordan, IBM Data is Good business Jamie Taylor, Metaweb Technologies, Inc. Exhibits open and conference reception 5:00 PM – 8:00 PM EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 5
    • AgEndA AT A glAnCE WEDnESDay, march 17 7:30 AM – 8:30 AM Dama-Dmbok Working Session - chapter 10 Document and content management Susan Earley, u.s. cellular 7:30 AM – 8:30 AM a Data-Driven approach to Star-Schema Generation larry Seid & Sylvia harris, Pacific northwest national laboratory 8:00 AM – 8:30 AM identity vs. privacy: managing Social networks from an Enterprise Data architecture Data integration as a Service - rethinking Data management new ideas the Data conundrum perspective: integrating ontologies with Structured Enterprise Data not Just an Etl tool after all in an Evolving integrated Data Ted Shelly, Pinnacle Project Group LLC to more Effectively manage organization relationships Calla Knopman, Space William Pjura, Cambridge Interactive Development Corporation Knopman IT Consulting, LLC David Salmen, Data Tactics Corporation 8:45 AM – 9:15 AM xbrl: revolutionizing model-Driven Development using Web 3.0 technologies Solving the real-time Data Data Exchange at the netherlands ministry business reporting of applications that need to to unlock knowledge in crunch with Streaming SQl of Justice: Generation of business Docu- new ideas ment xml Schemas using oWl and the Greg Zegarowski, integrate Disparate Data Sources the Enterprise Julian Hyde, SQLstream un/cEFact cctS Financial Leadership Corporation in real time With infoGrid.org Jans Aasman, Franz Inc. Johannes Ernst, NetMesh Inc. Harry Biersteker, Ministry of Justice Ralph Hodgson, TopQuadrant Inc 9:30 AM – 10:30 AM lean Data Governance - comparison of Enterprise communicating with tricked by the relational business Semantics-driven an iterative approach Data platforms business people through paradigm: Why Some Data Does integration of Service-oriented Anne Marie Smith, William McKnight, high level models not behave as We Expect applications 21st Century Insurance McKnight Consulting Group Chris Bradley, IPL Michael Scofield, Loma Linda University Pieter De Leenheer, Donna Burbank, CA Collibra nv/sa & VU University Amsterdam 10:30 AM – 11:00 AM coffee break 11:00 AM – 12:00 PM information Governance understanding and next Generation What Every Data manager needs after the Fall: the Effect of the and information integrity at managing reference Data insider threats – Stories to know about health informatics Financial meltdown on Data bmo Financial Group in today’s Enterprise from the trenches Pamela Hulse, management in the u.S. Wayne Harrison, BMO Financial Group Mehmet Orun, Genentech Brian Contos, Imperva Inc. The Data Governance Institute April Reeve, EMC Consulting 12:00 PM – 3:30 PM Exhibits open 12:00 PM – 1:30 PM break for lunch. Please note that lunch will not be served 1:30 PM – 2:30 PM Eim – Strategy to pragmatic best career insurance for Data taming the hierarchy monster practicing Enterprise information Starting the Data Delivery – organizational management professionals: Bonnie O’Neil, Westridge Consulting architecture ii: What to Deliver conversation – a case Study of capability approach from continual Development and and how to Deliver information the Data management maturity a business perspective certification architecture model approach Developed Mark O’Gorman, Sun Life Financial Deborah Henderson, Xinhua Deng, Freddie Mac and Deployed within bp DA Henderson Consulting Ltd. Leon Bernal, Freddie Mac Mona Pomraning, BP Anne Marie Smith, 21st Century Insurance 2:30 PM – 3:15 PM coffee break 3:15 PM – 4:15 PM Semantically controlled location, location, location – Just modeling as a automating the management a Systems approach to Data hierarchical Data mashups as in real Estate, location is the risk-management Strategy of reference Data, Generalized and its management and their Dynamic processing most important Data for the blm Robert Zoltok, Roberts, Logan Inc. models and codes Noreen Kendle, Gartner Michael David, Christine Hawkinson, Karen Lopez, InfoAdvisors Advanced Data Access Technologies, Inc. G&B Solutions (at the BLM) Barb Kett, BLM 4:30 PM – 5:30 PM powerDesigner SiG Strategic career planning Matt Creason, Sybase, Inc. and the cDmp Eva L. Smith, DAMA International thurSDay, march 18 8:30 AM – 9:30 AM the mDm Journey at Exploring heterogeneous how Data abstraction techniques Enabling Eim through a the Serious business of Fun: australia post oceans of Data - Semantic resolve the Data Sharing Enterprise meta Data managing Data in online Eva Gardyn, Australia Post Web ontologies conundrum in the intelligence management Environment Games Yijing Zhou, Eli Lilly and Company community Ngan MacDonald, Brian Sletten, Bosatsu Consulting, Inc. Bob Blair, RW Technologies, Inc. Health Care Service Corporation Michael Jennings, EWSolutions 9:30 AM – 9:50AM coffee break 9:50 AM – 10:50 AM viral Data in Soa: an instant Enterprise information Soa Data Governance - code management Systems how to integrate modeling Enterprise pandemic models – Just add patterns managing your Data in motion in large Enterprises - and Web 2.0 technologies to Neal Fishman, IBM John Giles, Country Endeavours Patrick Cross, Fosgail Corporation challenges and Solutions improve communication Saad Yacu, Allstate Insurance Jason Tiret, Embarcadero Technologies 11:10 AM – 12:30 PM keynote: What the business Wants Graeme Simsion, simsion & associates 12:30 PM – 1:30 PM break for lunch. Please note that lunch will not be served 1:30 PM – 4:45 PM S1: Gaining visibility into your S2: rESt and resource- S3: Data Governance and S4: a Fill-in-the-blanks S5: let’s talk business: Data through Data visualization oriented architecture Dancing in the rain business-Friendly Data Strategy a practitioner’s Guide to Lyndsay Wise, WiseAnalytics Brian Sletten, Bosatsu Consulting, Inc. Robert Seiner, KIK Consulting / TDAN.com Gwen Thomas, Data Governance Institute communicating about Data Danette McGilvray, Granite Falls FriDay, march 19 8:30 AM – 12:00 PM consulting Skills for it professionals Graeme Simsion, simsion & associates 6 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • AgEndA AT A glAnCE WEDnESDay, march 17 Dama-Dmbok Working Session - chapter 10 Document and content management Susan Earley, u.S. cellular 7:30 AM – 8:30 AM a Data-Driven approach to Star-Schema Generation larry Seid & Sylvia harris, Pacific northwest national laboratory 7:30 AM – 8:30 AM overview of Enterprise meta how to Effectively manage in 8:00 AM – 8:30 AM architecture Delivering real-time “Data about other new ideas Semantic Software components Data” or metadata Mark Arquette, John Trembley, Xeround MD Anderson Cancer Center 8:45 AM – 9:15 AM new ideas all roads lead to rome - turning Data into next Gen Data integration 9:30 AM – 10:30 AM the Global Data initiative merchandising reality includes the cloud case Study, 1 year later Ardley Tschetter, OfficeMax Suresh Chandrasekaran, Joshua Feinstein-Plummer, John Ford, OfficeMax Denodo Technologies Standard and Poor’s coffee break 10:30 AM – 11:00 AM business value assessment trends in business intelligence learning the Database landscape challenges in Developing cross-functional and cross-system 11:00 AM – 12:00 PM for mDm initiatives Jorgen Heizenberg, Capgemini in the opensource World metadata Standards: a case Study of american Greetings Nagesh Kanumury, Perficient Inc. Robert Bernier, Medio Systems Inc. Stephanie Lemieux, Earley & Associates, Inc. Exhibits open 12:00 PM – 3:30 PM break for lunch. Please note that lunch will not be served 12:00 PM – 1:30 PM tales from a master Data From Data management business agility, performance and Enabling customer master Data 1:30 PM – 2:30 PM management transformation to analytics - a Slow but Steady Enterprise architecture: a case management at lexmark roadtrip Journey Study in healthcare Sreedhar Srikant, Lexmark International Art Garanich, Peter Aiken, VCU/Data Blueprint Dorin Andreescu, GPMSS Swapan Dutta, Wipro Credit First National Association Rob Reynolds, Markel Insurance Jaime Fitzgerald, Fitzgerald Analytics coffee break 2:30 PM – 3:15 PM putting theory into practice in the real World: a case Study of look before you leap: a business business agility, performance and Enabling customer master Data 3:15 PM – 4:15 PM implementing a new Data management program by Following case for Data Quality Enterprise architecture: a case management at lexmark time-tested Data resource management principles and practices James Viveralli, Erie Insurance Group Study in healthcare Michael Miller, Cincinnati Financial Corporation Sreedhar Srikant, Lexmark International Dorin Andreescu, GPMSS Swapan Dutta, Wipro 4:30 PM – 5:30 PM thurSDay, march 18 Sustaining your Data predictive analytics for the practical principles learned in 3 8:30 AM – 9:30 AM Quality program masses: making the impossible years of Data Governance Teresa Cox, AEGON USA possible Pablo Riboldi, LDS Church Thomas Neff, AEGON USA Mike Psenka, eThority Jim Young, eThority coffee break 9:30 AM – 9:50AM real-world Struggles and Successes Data Strategy on a Shoestring viral Data in Soa: an Enterprise 9:50 AM – 10:50 AM of implementing a master Data Chris Allen, Amgen pandemic management Environment Neal Fishman, IBM Gene Boomer, OneAmerica Financial Partners Inc. keynote: What the business Wants Graeme Simsion, simsion & associates 11:10 AM – 12:30 PM break for lunch. Please note that lunch will not be served 12:30 PM – 1:30 PM 1:30 PM – 4:45 PM FriDay, march 19 consulting Skills for it professionals Graeme Simsion, simsion & associates 8:30 AM – 12:00 PM EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 7
    • CdMP inFoRMATion Get certified at eDW san Francisco! !ocSicnarF naS WDE it’s a great time to stand out from the crowd and display your commitment to the field of data management. We are pleased to offer you the opportunity to earn your cDMP certification at the conference. As an added bonus at Enterprise Data World 2010, all exam candidates can take the exams on a “pay if you pass” basis. ICCP’s 2010 DAMA member rate is $285 for each exam ($350 for non members), paid only if you pass at 50% correct or better. This applies to all exams other than beta exams, e.g. IS Core exam. You will need to bring your own laptop. The exams run off a USB drive. You may take an exam of choice during any of these open exam sessions. Three exams are required for the CDMP. The CORE IS skills exam, the Data Management CORE exam, and one related exam of your choice. Sunday, 1:30 – 3:00pm • Tuesday, 5:00 - 6:30pm • Tuesday, 6:30 - 8:00pm • Wednesday, 4:30 - 6:00pm noTE: Before January 30, 2010, pre-payment of exams can be done through the ICCP office at the $250 rate per exam. Call 847.299.4227 or 800.843.8227 or email office@iccp.org. On-site registration and payment can be done in the exam room. There are also a number of beta exams which are free to take. Payment is only required if you want to convert the beta exam to have it count towards the CDMP or re-certification. The conversion fee is $195. The Institute for Certification of Computing Professionals (ICCP) has approved this program for awarding contact hours to be credited to recertification records for continuing education. 120 hours are required for recertification, and recertification must be done every three years. cDmp Exam preparation sunday, 10:00 am - 1:00 pm patricia cupoli, DAMA ICCP Director, DAMA International Level: Introductory This workshop covers the process, tips and techniques of successful CdMP exam taking. in this interactive and informative session, you will learn: • Concepts and terms used in the CdMP exams • Alignment of CdMP data exams with dAMA-dMBoK • What topics comprise each exam’s body of knowledge • Self-assessment of your knowledge and skill • What to expect during the certification exam process Workshop attendees will have the ability to retake any exams for a better score (one retake per exam) during the scheduled conference exam sessions as well as be able to take the certification exams on a “pay if you pass” basis (passing is 50% or better) on their laptops. Your exam results and performance profile can be viewed immediately. if you take and pass all three certification exams, you could leave Enterprise data World 2010 with a Certified data Management Professional credential! Please note there is an additional $50 fee for this class. 8 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • sunday, marcH 14 WorKsHops SunDay, march 14 RooM: XXX RooM: XXX W3: normalization - the achilles heel W5: re-Energizing Data WORKSHOPS of Data modeling management, Governance and 3:30 PM – 6:45 PM modeling in your organization level: introductory RooM: XXX level: intermediate Gordon Everest W1: Quality by Design: Data Professor Emeritus, University of Minnesota Janine m. Stevens integration Design techniques For Many database professionals think they know all about Enterprise Data Architect, Sabre Holdings Inc. improved information Quality Normalization, but when it gets down to doing it, or explaining it to others in their organization, they often level: intermediate stumble. This workshop will test your knowledge, work Glenn harper andres perez on some exercises, and learn (or reinforce) some principles Chief Infrastructure Architect, Sabre Holdings Inc. Sr. Information Management Consultant about record-based (ER/relational) database design. You IRM Consulting, Ltd. Co. are guaranteed to come out of this workshop a better As a world leader in the travel marketplace, Sabre Holdings data modeler. Even if you know all about normalization merchandises and retails products and provide distribution Organizations spend enormous resources implementing (or think you do), this session will give you the ability and technology solutions for the travel industry. So how data integration processes (usually via ETL tools). to explain it to others who don’t have such a clear have we handled data management and how has securing However, often the customers of the new data structures understanding. The workshop explores: sensitive data changed the game? We will discuss the are frustrated with the quality of the information. They • What is normalization, its history and evolution, why it techniques that Sabre used to federate data governance frequently complain that lack of transparency in the design is important and invigorate data standards and data modeling in a large and implementation of these applications results in lack of • Basic principles globally diverse development organization. This workshop trust, and inhibits their use. In addition, defect detection • Conditions that call for normalization will present a case study with facilitated discussions on: and correction in databases and integration processes is very difficult and time consuming. This workshop • How to perform normalization • How Sabre re-energized data management back into the describes: • How to recognize and correct violations of normal forms organization • Consequences of not correcting violations of the normal • How PCI and PII is changing the attitude and culture • Methods to implement transparent, auditable and forms • How sensitive data identification has helped improve maintainable data integration processes including • Myths and misunderstandings about normalization which documentation and collaboration techniques for the implementation of the Quality by confuse both novices and experts • Centralizing models in a global work environment Design Rule: “Capture Information about Defects & • Why current DBMSs cannot help you produce a fully • Making standards relevant to an organization Events” which provides evidence and statistics to make normalized design. • Data modeling in an Agile development environment defect correction and prevention. • Find out what data modeling scheme is free of any • Techniques for information stewards involved in the concern for normalization, and its popular software tool You will take away from the workshop: identification and implementation of data integration which produces relational table designs guaranteed to be • How to create a workable governance organization processes, data conversions and data controls for mission in fifth normal form. • How to create a committed core team critical databases. • How to create global training on a shoe string budget • Methods to keep information stewards informed when • Moving to a single modeling tool and repository information defects take place and statistical reports to RooM: XXX • How to use case tools to identify data implement and verify process improvements. W4: inevitable Scenarios and challenges • How to introduce standards into a hostile environment in Data integration Efforts and how to RooM: XXX Deal With them RooM: XXX W2: agile Database Development W6: Data management on a level: Business Shoestring – Strategies for Eim when level: introductory money is tight len Silverston pramod Sadalage President, Universal Data Models, LLC Principal Consultant, Thoughtworks Inc. This workshop will provide tools and exercises to level: intermediate Agile and Iterative development are mainstream in the help data professionals effectively deal with inevitable John ladley software development world. Most application developers scenarios that occur in data integration efforts and are President, IMCue Solutions think the database is an impediment to agile development. usually the key to success. Based upon decades of real life experiences, Len Silverston will share scenarios that are Recessions tend to bring out the creative aspects of This presentation will show that agile development or so common in data integration efforts that it only makes continuing data management efforts even when money iterative and evolutionary development can be done with sense to proactively and effectively know how to deal with is tight. This session will review various strategies for the database, making the database an integral part of the them. We know these scenarios and obstacles will occur reducing cost of information project deployment, tools, application development effort and how the database and on most data management and data integration efforts, collaboration and processes. We will cover several the data team can be flexible to allow for rapidly changing whether it is an MDM, data warehousing, enterprise categories within enterprise information management requirements. What are agile development practices and information management, or other type of effort. Why where there are proven strategies to reduce costs. how do you apply them to databases? How does the data not be prepared to effectively handle these obstacles and Representative topics are: team contribute and stay productive in today’s software development environment? How can they influence the scenarios in advance? If an organization is not prepared in • Open Source tools software being developed long before it’s deployed? This advance, people usually react instead of proactively and • From BI to repository Collaboration presentation will talk about Agile practices like: intelligently responding, and this usually ends up badly. • Within our reach and a true cost saver Agile processes Most people in data integration efforts realize that the • Reducing the cost of deployment • Pair Programming core issues are not technical – they are interpersonal. This • Continuous Integration interactive tutorial will share techniques that are essential • Refactoring to effectively integrating data. It will illustrate why some • Test Driven Development (TDD) data integration programs succeed and others fail and • Automated testing what skills are needed to help data integration efforts. This tutorial will also provide exercises where participants can practice these techniques and skills in scenarios that are bound to occur in data integration efforts. EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 9
    • WorKsHop + nigHt scHool sunday, marcH 14 RooM: XXX RooM: XXX Attendees will learn: W7: introduction to the Semantic W9: Semantic modeling for Enterprise • The background, definitions, components, and key Web and ontologies Data architecture terminologies of Data Services • Best practices and new trends in data services and data level: introductory level: intermediate virtualization Dave mccomb ken orr President, Semantic Arts Inc. Chief Scientist, The Ken Orr Institute nigHt ScHOOl There is more interest in and need for Enterprise Data Architecture today than at any time in the past. Today, 7:00 PM - 8:00 PM organizations everywhere are trying to rationalize the Simon robe inventory of databases that make up their “accidental” RooM: XXX Director, Semantic Arts Inc. distributed data architecture (e.g, legacy databases, Generating xml Schemas From a Semantics and information systems is not a new relational databases, COTS databases, Access databases, combination, but the emergence of new semantic spreadsheets, XML files, attachments, media files, etc., canonical model: a practical Example technologies and semantic web standards is providing etc.). With this vast variety of data comes the need for level: intermediate tremendous impetus to a new semantic discipline and new methods to help data architects to make sense of changing the relationship between “semantics” and IT. everything. Semantic Modeling for Enterprise Data George mcGeachie Architecture is not the same thing as applying detail Metadata and Modelling Specialist, This presentation will introduce the Semantic Web and database modeling across the enterprise, rather it focuses Metadata Matters Ltd explain the key concepts and standards that make up on the modeling the major semantic components of data How can your systems be integrated if you can’t agree how the semantic web stack, including Resource Description (actors, roles, messages, objects, time, location and goals) long your account numbers are, how many lines there are Framework (RDF) and the Web Ontology Language and translating between different domains. in a customer’s address, or the mandatory data required (OWL). You’ll discover how these provide new building • Semantic Modeling: when creating a customer? Reduce the risk and costs of blocks for a semantic infrastructure. -Actors, Messages, Objects, Events/Time, Location integrating your business systems, by generating your XML We’ll also introduce the concepts of Description Logics and Goals Schemas from a canonical data model. Topics will include: (DL) and Open World Reasoning – Semantic inference -Defining Semantic Context • Why you should use a canonical data model is a major departure from constraint and template based -Defining Relationships (Actors vs. Roles) • Which canonical model should you use? environments such as relational and object oriented • Using Semantic Modeling within Enterprise Architecture • What if you manage it all in XML? development environments. We’ll also introduce how queries -Business Architecture (Business Process Modeling) • What if you leverage your enterprise or other common of semantic data are made via the SPARQL query language. -Data Architecture (Data Architecture Modeling, business model? Semantic-web Modeling) • A practical demonstration using a popular data RooM: XXX -Application Architecture (Application Frameworks) modelling tool. W8: Decision models and business • Managing Semantic Modeling • What other approaches are available for generating XSDs? rules: Everything Data professionals RooM: XXX need to know RooM: XXX tainted truth: how to read W10: Data Services & virtualization industry research level: intermediate ronald G. ross level: introductory level: Business Principal, Business Rule Solutions robert J abate neil raden Managing Principal, Intellisys, Inc. CEO/Founder, Hired Brains Our industry is loaded with “research,” much of it in the form Gladys S.W. lam of surveys, but it raises some questions about how we create Principal, Business Rule Solutions peter aiken and publish market research in this industry. Much of our This tutorial explains what decision models are about, Associate Professor/Founding Director, research is funded by vendors. At a certain level, the researcher VCU/Data Blueprint and how they relate to business rules, data models, and is attempting to uncover the sentiments in the market, but business process models. In-depth, hands-on skills are We are in the midst of a paradigm shift in how the sponsors are expecting a document that validates their developed, including how to build decision tables and organizations view and address data usage and delivery current marketing message. Because of this balancing act, it’s structured business vocabularies. Drawing heavily from of information. Technology has brought us a plethora of important to learn how to read survey results. real-life experience, Mr. Ross and Ms. Lam detail a data - how companies define, secure and distribute this • Recognizing distorted reporting carefully crafted step-by-step approach to organize and critical information is what sets them apart. This workshop • Knowing who paid for the survey develop pragmatic, effective solutions. will take the attendee through the topic of Data Services • Understanding the methodology behind a report including Data Virtualization. This workshop will begin • Evaluating “softball” questions Decision models based on structured business vocabularies with a discussion of the history of data services, what are • Spotting obvious manipulations of the responses and business rules offer practical new techniques to data services and how data virtualization is changing the • Auditability to evaluate the tabulation create more effective business solutions, to energize and way organizations are securing and delivering information • How the media reports the results of surveys accelerate the requirements process, and to inform data to its constituents. models as never before. These innovative methods have proven highly successful in organizations of many different We will examine the key drivers, definitions, RooM: XXX types and sizes. requirements of and review successful as well as new Why does master Data • Understand decision models, decision tables and business strategies that show how to deploy and sustain a data management Fail? rules services / virtualization plan in your organization. Areas • Coordinate decisioning artifacts with business to be covered include: level: introductory vocabularies and data models • The context for Data Services and Virtualization - How Sue Geuens (turner) • Communicate more successfully with both the business did we get here? Head Vodacom Data Management Centre., side and IT • Definition of data services and virtualization Edge Consulting • Improve the requirements process and complement • Turning data into trusted information through delivery This presentation paints a picture of some of the many and process models using data services varied reasons for MDM failures. It also tries to explain • Capture and organize knowledge in data-friendly fashion • Data availability and accessibility improved how these failures could have been avoided and what can • Organize and run a decisioning project • Best practices 10 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • MondAY, MARCH 15 tutorials be done to mitigate such failures. It further investigates of appropriate product selection, we will include throughout data’s long lifecycle requires a systemic whether there was a point at which failure was guaranteed, contributions from some of the leading solutions vendors approach. The workshop will review overlaps between but where success could have been the outcome if a on the agenda. And because most of the vendors take technical and administrative security and attempt to different route had been taken. different approaches, making it confusing to compare define and “demystify” certain technical areas. The solutions, David Loshin will put them into context for you goal is to increase the effectiveness of Data Governance • Failures and explain where each one is most appropriately applied. professionals in understanding the challenges and the tools • Overview Whether your implementation is just getting started or involved in protecting sensitive data. We will discuss the • Taking the failure apart well on the way to maturity, you’ll leave this tutorial with following elements of Data Governance: • Changing Failure to Success - is it possible? proven strategies to successfully plan or modify your own • Data confidentiality, data integrity, and data availability • Conclusions MDM program from this point forward. • User identification, authentication, and authorization • The MDM component model • Data Privacy and Confidentiality policies, standards, and RooM: XXX • MDM operational, organizational, and technical challenges enforcement goals • Master data models, metadata, quality and governance • Design and implementation goals of Data Protection metadata management 101 With • Customer data and product data Controls hands-on Scenarios • Master data integration • Information confidentiality classifications, why they • MDM architectures currently fall short and how to fix that level: intermediate • Master data synchronization and publication • Managing Data Access Views, and how this impacts louis Darden • What do MDM products do for you? software lifecycles and existing practices Senior Data Administration Advisor, • Product features, functionality and comparisons • Issues with Cloud Computing and some architectural Health Management Corporation • Best of breed solutions suggestions for data protection This tutorial is sponsored and limited participant contact in- • Why encryption is not a silver bullet, but still can be a This presentation stresses the importance of metadata to pretty good tool an organization and where it fits in the data warehousing formation will be shared with the sponsoring organizations. and business intelligence environments. It demonstrates metadata benefits using hands on scenarios to reinforce the RooM: XXX RooM: XXX power of metadata management. t4: Data Warehouse rescue t2: Data management in the cloud RooM: XXX level: intermediate level: intermediate Getting What you Deserve: 7 Steps to neil raden Gain respect in your organization malcolm chisholm President, Askget.com Inc. CEO/Founder, Hired Brains Cloud computing has recently emerged as a new paradigm Most data warehouses, and the processes they support, level: Business in IT, and it is already apparent that it will require innova- were designed based in principles from 10 years ago tive data management techniques in order to be successfully or more. Even newer implementations suffer from this rob Drysdale adopted. This tutorial explains the basis of cloud computing, problem. However, technology has exploded and data Senior Program Manager, InfoAdvisors and the varied ways in which it is being used by enterprises. warehouse/BI implementation are not designed for Too often we hear people complaining that they don’t The areas for governance, master data management, security the latest changes such as externalization of business get respect in their organization or that they aren’t and data protection are explored. In addition, special em- processes, real-time requirements, the vast quantities of involved in projects when they should be. It seems like phasis is paid to new columnar databases that are emerging unstructured data, massive scale, loosely coupled services our organizations don’t understand what we do, why it’s on the cloud. These databases will involve a reshaping of a replaced monolithic applications. The rapid rise of social necessary and the overall value that we can bring to any generation of database designers brought up on the relational networking connecting you with your customers, suppliers project (including package implementations). This session paradigm. You will learn: and regulators, not to mention your own employees, will provide insight into why this lack of respect exists, creates another channel for knowledge that is not currently • The basics of cloud environments, and what sets them how we got here and how we can change it. This session accessible. In this session, you will learn about a “surround apart from previous generations of IT will: strategy” that preserves the value of your data warehouse • How enterprises are using the cloud today, and likely while positioning to embrace all of the newer requirements. • Explain how we got here and what the future will look future directions like if we don’t do something about it • Governance for cloud use, including security, and the • The state of data warehouse design today and how it • Reveal the 7 things we can do to change how the business challenge of master data management needs to adapt to new requirements views us • The structure and design challenges of columnar data- • Emerging requirements from Web 2.0, SOA and social • Demonstrate what each of us can do to improve our bases, such as Bigtable networking personal value to the organization • Basic techniques in columnar databases, such as • Evaluating the gap MapReduce, indexing, and integrity. • A plan for renovation • “Big data” and semantic applications built on cloud • Design ideas databases • Guidelines for renovating the data warehouse monDay, march 15 RooM: XXX tUtORiAlS t3: Data protection and Security RooM: XXX t5: how to Successfully implement 8:30 AM - 4:45 PM management as a critical part Enterprise information management of Governance RooM: XXX level: intermediate t1: master Data management level: introductory David marco level: intermediate David Schlesinger President, EWSolutions Security Architect, Metadata Security LLC Almost every large government agency or Global 2000 David loshin Data protection is a critical area of Data Management, company is struggling to properly manage their enterprise’s President, Knowledge Integrity and Data Security Management makes up Section 5 of the data and its architecture. This difficulty is the direct This tutorial takes stock of MDM today – the key DAMA-DMBOK Framework. This tutorial will provide an result of the highly distributed, disjoined, needlessly technologies, products and best practices. It provides overview of the major responsibilities of Data Protection redundant and overly expensive information technology an overview of the business, organizational, and required for effective Data Governance. Data Protection is (IT) environments which currently exist throughout our technical issues that need to be addressed for your own vital since data retains its privacy and financial sensitivity industry. This situation has triggered the reemergence of successful program. Given the key strategic importance wherever it resides in the enterprise. Managing protection truly proactive Enterprise Information Management (EIM) EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 11
    • tutorials monday, marcH 15 to reduce IT costs and increase return on investment (ROI) time and resources required. Similarities occur when easy challenges, we’ll advance to more moderate and of IT and decision support systems. the modeling work actually begins: the actual step-by- difficult challenges. Expect a fun yet intense session. By step process of modeling, the modeling rules which the completion of the tutorial, you’ll obtain a higher level This real-world course will move EIM theory into a are followed, the form and content of the model, the of experience and have more techniques to apply when you practical roadmap to achieving true value from your EIM questions which the facilitator uses to illicit the information get back to the office. initiative. It will present the specific metadata inputs and requirements, and the way those requirements are outputs that are required for each of the most common EIM interpreted into model components. This workshop includes three modules, classified like ski focus areas. In addition, data governance and stewardship trails according to their level of difficulty: • The Big Picture approaches and specific structures will be presented for • What happens before, after, and during conceptual data • Green trails will strengthen our skills in areas such each of these areas. modeling at an enterprise-wide level vs. the project level as data modeling within a Cloud environment and • Foundational Components of Enterprise Information • Do’s and don’ts for enterprise-wide and project-level building canonical data models within Service Oriented Management modeling Architecture (SOA). • Metadata Management • Similarities between enterprise-wide and project-level • Blue trails will strengthen our skills in areas such as data • Data Governance and Stewardship conceptual data modeling modeling mashups and analyzing unstructured data. • Focus Areas of Enterprise Information Management • Diamond trails will strengthen our skills in areas such as • Enterprise Data Model columnar data modeling and being the lone modeler on RooM: XXX • Master Data Management an agile development team. • Data Quality t8: the Fundamental Quality • IT Portfolio Management principles applied to total information RooM: XXX • Enterprise Data Warehousing • Enterprise Information Management Best Practices Quality management t10: linked Data for the Web and • Enterprise Information Management Real-World the Enterprise Case Studies level: Business larry p. English level: intermediate RooM: XXX President, Information Impact Int’l Inc. David Wood t6: Enterprise metadata management Quality Management is predicated on the theory of a Partner, Zepheira – bringing order to the Structured and common core set of principles, processes and techniques Linked Data (or Linked Open Data) is an emerging set of unstructured Worlds applied to improve quality of manufactured products or concepts and technologies for combining and integrating delivered services. World-class organizations apply the level: intermediate same quality principles, such as Deming’s Fourteen Points, data. Originating on the World Wide Web, the simplicity Kaizen, Quality Function Deployment (QFD) and the and scalability of Linked Data is now bringing the concept mike Ferguson into enterprise data architectures as well. As enterprise Managing Director, Baldrige Criteria for Business Performance Excellence to Information. This presentation addresses how these data is growing at a much faster rate than traditional Intelligent Business Strategies Ltd technologies can cope, some different approach to large- principles and techniques apply directly to information This session looks at the role of Metadata Management as a product, and knowledge workers as information scale information management is warranted. The World in Enterprise information Management initiatives. It producers. In this tutorial Mr. English describes the Wide Web is the only information system we know that shows how companies can organize themselves and what fundamental principles of Quality Management and how scales to the degree that it does and is robust to both technologies to use for metadata management in order they apply to Total Information Quality Management. He changes and failure of components. get control of both structured and unstructured data. In describes how an organization can improve the quality and particular it looks at: value of its information resources. He describes metrics This tutorial will explain Linked Data principles and for measuring information quality and the management technologies then demonstrate how they work through case • Common business vocabularies studies and real-world examples. Applying the Web’s • A methodology for continuous improvement in principles for implementing an effective information quality environment. architectural principles (versus using the public Web structured data directly) for enterprise problems, it shows how to address • Disparate data definitions for the same data the current and future enterprise information glut. It will • Mapping disparate definitions to common ones • Fundamental Principles of Quality Management Applied to Information Quality also discuss challenges, such as how the use of Web • Data cleansing and data integration rules architecture requires enterprises to give up the central • Generating ETL, EII and ESB translations off the • Customer satisfaction is the ultimate goal • Process improvement is the means of achieving quality control and planning traditionally applied by IT depart- same metadata ments. By the end you will understand how Linked Data • Integration of master data metadata with taxonomies • Measuring the costs of poor quality information • Applying Principles of Quality Management to and Web-oriented approaches to enterprise information • Master Taxonomy Management management can work well within real-world enterprises. • Integrating Taxonomies with content authoring tool and Information Process Quality Content Management Systems • Plan-Do-Check-Act (PDCA) • Using metadata to clean and integrate unstructured • Principles and techniques to design IQ into information processes content • Culture Transformation: Creating a Sustainable nigHt ScHOOl Environment for Quality Information RooM: XXX 5:00 PM - 6:00 PM t7: Data modeling in the Enterprise-wide RooM: XXX RooM: XXX vs. the Development project context t9: Data modeling challenges Within reducing the cost and complexity level: Advanced trends and technology of business analytics William G. Smith level: Advanced Founder and Principal Consultant, level: Business William G. Smith & Associates Steve hoberman Data Modeling Trainer and Consultant, ronald v. Shelby Creating an enterprise-wide conceptual data model has Steve Hoberman & Associates Associate Partner, IBM Global Services many aspects which are profoundly different than creating a conceptual data model with a more limited development Although core data principles have stood the test of time, Organizations are experiencing higher costs and project scope; but they also have a lot of aspects which yesterday’s buzzwords are rapidly transforming today’s complexity from an explosion in the amount of data are the same. Differences include the degree and type of application landscape and impacting how we analyze and that’s available to them. At the same time, they’re facing planning and scheduling which must be done, the number design. This tutorial contains a set of easy, moderate, and a fundamentally changed environment with increased and variety of participants who must be involved, the difficult data modeling scenarios that we will face within demands for informed decisions to be made quickly and reviewing/socializing/validation of the model, and the data management trends and technology. After mastering accurately. Too few organizations are able to meet this 12 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • MondAY, MARCH 15 nigHT SCHool challenge today. Ron will explore how business analytics RooM: XXX requirements change. This provides enterprise applications and optimization has helped large organizations meet with dynamic adaptation capabilities. Semantic their challenges. A key part of making this transformation Scoping metaData management technologies provide storage and query capabilities using successful is much better and more consolidated data the RDF data model. In this presentation, we will walk management. level: intermediate you through ways in which you can model your view of the Enterprise world using technologies like OWL, RDF, • Simplification of underlying data mark mosley RDFS, and triple-stores. We will start with an introduction • Reducing complexity in analytics Principal Consultant, EWSolutions to the Semantic Web and then explore each topic in-depth • Reducing the costs of your existing analytics ecosystem There are many different kinds of meta-data, sourced from with examples. By the time we are done with the session, many different kinds of sources and used for many differ- you will have an in-depth knowledge of different areas of RooM: XXX ent purposes. When launching a meta-data management Semantic Web technology and how to utilize them in the Enterprise. Deciding the case for Data program, an organization must identify, prioritize and focus on the meta-data subject areas of most business value. Quality investments This session will review a meta-data subject area model RooM: XXX level: Business of proven value in developing the meta-data management strategies for several organizations. Topics will include: Social karma: the art of Effectively Frank J. bernhard using Social media in business Managing Principal and Advisory Economist, • The contents, sources, uses and business value of each OMNI Consulting Group meta-data subject area level: introductory • Support for each meta-data subject area by prominent Investments in business intelligence and data warehouse Jim harris meta-data repository products strategies leave many organizations probing for spend Blogger-in-Chief, • Techniques for prioritizing and scheduling focus on meta- justification. Organizations that invest consistently in Obsessive-Compulsive Data Quality data subject areas quality practices and technologies demonstrate a higher An effective social media strategy is essential for both measure of return on resources applied to business businesses and professionals. Using social media, and intelligence efforts. In this session, we explore the recent RooM: XXX social networking sites (e.g. LinkedIn, Twitter, Facebook) advances in data quality management and how these contribute to a higher yield in productivity from a business the Fine art of metadata harvesting can help promote you, your expertise, your company and its products and services. However, it is sad but true that context. Participants learn firsthand the economic goals too many people have a selfish social networking strategy. behind data matching and why this important technology level: intermediate You should not use social media to exclusively promote approach is delivering bottom-line improvements across only yourself or your business. You need to view social the board. John Friedrich Director, Meta Integration Technology, Inc. media as Social Karma. If you can focus on helping others, • Key performance indicators and norms to decipher then you will get much more back than just a blog reader, data quality a LinkedIn connection, a Facebook friend, a Twitter • Economic benefits and efficiencies of a solid data follower, or even a potential customer – you will get a management strategy christian bremeau raving fan. This presentation will explain how. • Yield management and what this means with regard President & CEO, Meta Integration Technology, Inc. to productivity • Methods and technologies that produce the greatest shift Successful metadata harvesting is key to any metadata RooM: XXX in data clarity management and enterprise architecture solution. This Dama-Dmbok Working Session - presentation dives deeply into the challenges of metadata harvesting solutions. In particular, emphasis is placed on: chapter 6 Data Security management RooM: XXX • The massive amount of metadata to be derived from old integrating Web Data and traditional technologies like COBOL to the latest data integration level: intermediate business Data and BI technologies. Susan Earley • The increasing levels of competition between vendors. Project Architect/Sr. Data Modeler, U.S. Cellular • The increasing pace of version releases and radical level: intermediate changes from vendors/tools (and thus the metadata which This discussion will present the context diagram of the is available). DMBOK chapter, solicit commentary on the content, then Dawn marie michels St. Technical Data Architect, Target Corporation • The multiplication of metadata interface technologies review the chapter sections and solicit commentary on each C++, Java SDK, COM base, XML, native section of the chapter. The intent is to solicit commentary In the ever expanding Web presence as well as continued • A vendor’s legal rights to various metadata interfaces, directly from the attendees on how to improve the DAMA- growth of traditional information content, businesses are formats, etc. DMBOK for the next version. Attendees should have challenged with ways to integrate the value of traditional • The need for metadata coverage/completeness, reviewed the chapter before the session in order to provide relational data, flat files and de-normalized DW data to complexity, as well as parsers and compilers to extract constructive commentary. now include constructs such as URLs, browse paths, blogs lineage. as well as other unstructured data. Another challenge is • The implications which harvesting poses for metadata gleaning business value from this new form of data. This stitching and metadata version and configuration presentation focuses on ways to integrate this valuable management. business information and to understand the characteristics of web data. RooM: XXX • Different forms of traditional, BI and web data comparing some of their structures Semantic Web technologies for • Methods for retaining structured and unstructured data. Enterprise applications • Techniques for gathering business requirements around web data • Special modeling considerations level: introductory Shamod lacoul Independent Developer Enterprise applications undergo continual change due to evolving requirements, especially the need to integrate new data. Semantic Web technologies provide a general- purpose data schema that is flexible and easy to adapt as EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 13
    • ConFEREnCE SESSionS tuesday, marcH 16 RooM: XXX tuESDay, march 16 RooM: XXX accelerating Data modeling results metadata on a Dime: how to Simply by Drilling into the process EARlY SESSiOnS and iteratively Deliver an Enterprise 7:30 AM - 8:15 AM metadata repository using agile level: intermediate Development methods RooM: XXX oliver h. Smith level: intermediate Enterprise Architect, QBE the Americas Strengthening Service oriented architectures (Soa) with Semantics Sharon r. asmus In large data integration projects, data modeling can be Business Intelligence Architect perceived as a design-phase bottleneck. By detailing the Werner Enterprises processes of data analysis, modeling and mapping for each level: intermediate role, including dependencies and deliverables, the true Are you one of the many organizations that have bottlenecks can be identified and remedied. This method John hebeler unsuccessfully implemented a metadata solution? Or, do Division Scientist, BBN Technologies you have a beautiful metadata strategy and architecture, but allows each role to execute their tasks most effectively, according to agreed-upon standards, thereby accelerating Semantics assist Service Oriented Architectures (SOA) in are unable to execute? This session will provide practical the team’s results. Attendees should come away with a the key areas of scale, survivability, coarse-grain services, and executable tips for implementing and sustaining a deeper understanding of: functionality, and more. We explore four semantic uses metadata repository using agile methods. Specifically, that advance SOA goals, noting the benefits, design, this session will focus on how to build and use a metadata • Data modeling processes, inputs, and outputs repository to support: • Business Capability Framework for P&C Insurance and implementation demonstration. We also discuss • Data model review criteria implementation strategies that use semantics to accelerate • Source data analysis and profiling • Improved project estimation methods system development cycles and improve SOA adaptability. • Source to target mapping • Architectural issues that one can expect to encounter • Semantic service that exploits underlying semantics • Report legends (definitions) without impacting the SOA architecture. • Audit, balance & control processes • Knowledgebase Semantic Service that exploits multiple RooM: XXX knowledge bases across and beyond an individual SOA, RooM: XXX applying Six Sigma to master Data opening up a rich knowledge source to the SOA. learning Strategies for Getting certified management (mDm) • Semantic Façade service that integrates multiple traditional services into a larger abstraction for improved level: Advanced level: Advanced survivability, coarse grain service composition, and transformation integration. Francine adams Joe Danielewicz • Semantic Registry service that provides conceptual Publicist & Director of Hyperion Services Database Specialist searching and management of the various services. ICCP & Silotech Group Joe Danielewicz Consulting, LLC In an economy where the job market is excessively This session describes how to apply Six Sigma DMAIC RooM: XXX competitive, certification can be a beacon of light on processes to developing the MDM architecture framework. a resume. ICCP certification can provide heightened MDM architecture, process, and governance are analyzed Data modeling vs. object orientated job security, as it inherently includes the desired in detail. Examples of Master Data ERD’s and scorecard programming. Spanning the Divide. professionalism, experience and education sought by metrics are examined and MDM framework components employers when deciding on retention factors. This are defined. presentation is for professionals either wanting to certify level: intermediate • Business drivers for MDM or teetering on uncertainty. It will address the importance • Plan MDM deployment paul J. agnew of certification as a career choice in the current, highly • MDM Framework as part of overall enterprise Partner, Universal Data Models competitive, climate and proceed to explain the how, what, architecture when, where and why of getting certified through Institute Are Relational design and Object-Oriented design two for the Certification of Computing Professionals, DAMA • MDM governance completely different ways of viewing the world, or can and other relevant organizations. • Use MDM metrics to track improvement in key they converge together to form a strong foundation that performance indicators helps solve our many data challenges? This presentation will help participants understand what patterns are, both RooM: XXX DAMA MEEting object orientated and relational. It describes the pros and cons, the pitfalls and positives of each approach. The promoting and managing the Data presentation will show how these approaches may form Warehouse as a retail business 6:15 PM - 7:15 PM a basis for solving data/software problems. Participants level: Business will gain: • An understanding of what patterns (relational and object arvind D. Shah Managing Principal Dama General orientated are) Performance Development Corporation • The pros and cons of each pattern approach membership meeting • How both approaches can converge to form a solid Many data warehouse proponents think once you extract, This is an open meeting for all DAMA members foundation for data/software problems transform and load (ETL) data into a Data Warehouse and anyone interested in learning more about • Experience in applying these blue prints to your (DW), their job is done and expect that users will flock to DAMA. Join us for refreshments, meet the DAMA organization use the DW. In reality creating a DW is just a beginning International Board, and learn more about the of an ongoing and never ending process. The DW is like co-sponsors of this conference. Stay for The a retail merchandizing business – where you buy goods in Homemade Jam, our popular annual showcase of musical talent. bulk, package them and then sell to consumers. So just as in retail merchandizing promotion and marketing the DW offering are extremely important. This presentation discusses the issues of ongoing DW management such as promotion, change management, conflict resolution, metrics manage- ment, short-term and long-term planning, and organization support and infrastructure requirements. The theme is how a data warehouse can apply sound management principles and successfully respond to changing needs of the business and delivers value at the same time by leveraging data stewards and other stakeholder resources. 14 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • tuesday, marcH 16 ConFEREnCE SESSionS RooM: XXX and being creative regarding IT streamlining requirements During this session, the role of IEPDs will be discussed, to build the successful business case for cloud computing. along with information related to the development of applying agile Software Engineering This presentation looks at a probable business case and NIEM-conformant information exchanges. Participants principles to Data Governance how it would be used to plan cloud investments. will also receive guidance on how to incorporate this standard into contracting to facilitate long-term NIEM • Cloud analysis of short-term and long-term costs and conformance from an enterprise perspective. level: Business benefits • Tailoring corporate cloud communication plan • The origin of information sharing and NIEM martin E. moseley • Business case to roadmap for cloud adoption • The governing structure of NIEM and its responsibilities CTO, Initiate Systems • Benchmarking results for confirmation of accuracy • The deliverables associated with NIEM development One of the most critical aspects of successful data • The scope of NIEM and its relation to implementation management is a Data Governance Program. However, • The value that NIEM provides to an organization RooM: XXX these have, in general, failed to achieve results. This presentation will show why traditional approaches to Data terms of Engagement: Where business RooM: XXX Governance have failed to meet business objectives, and and it meet in the Governance arena managing Data as a corporate asset - will show a contrasting approach that borrows heavily from today’s Agile/Lean software development approaches. an oil company perspective This presentation shows how, by implementing an agile level: Business approach to Data Governance, organizations can achieve ian rowlands level: Business the goals of Data Governance, but with much lower risk of Sr. Director of Product Management, ASG failure, higher participation rates of business leaders, and Frans liefhebber higher changes of successful outcomes. Learn how to: Enterprises invest substantial time and money maintaining Vice President, Finance Royal Dutch Shell their information assets and data governance is directly • Build an Agile DG Business Case linked to the value of that information. Once thought of Achieving top quartile performance in many business • Form a lean DG Organization as ‘nice to have’ data governance is now considered a processes is dependent on having master and reference • Prioritize DG projects must in order to provide a consistent, enterprise view of data that meets minimum quality standards. Achieving this • Perform an Agile DG Project the organization’s data in a way that ensures data stability, requires an approach to data management which centers • Evaluate Results & Value improves decision making, and maximizes the overall around business focus, clear governance, professional data business value of data. However, it’s not always as easy capabilities and making data quality “everyone’s business”. as it sounds. Data governance for IT without input from Along these lines, this presentation outlines how Shell has cOnfEREncE SESSiOnS the business is destined to fail; governance for business without technical understanding is destined to fail as implemented a global data management programme over the last few years across all its businesses and highlights well. Advanced usage of metadata management and some of the key lessons learned. 10:15 AM - 11:15 AM business glossary technology can solve this problem. This RooM: XXX presentation will draw on real world, customer case studies RooM: XXX and will show how metadata management and business monitor the Quality of your master Data glossaries can be a powerful first step in accelerating the using a common Data model for success of data governance initiatives. both bi and messaging level: intermediate RooM: XXX level: intermediate thomas ravn Practice Director, Platon US Inc. the challenges of managing Emerging Jeff pekrul Surprisingly few organizations have a structured approach Semantic technology projects Data Architect, Genentech, Inc. to measuring the quality of their data. Some may have a level: intermediate few custom reports or manually compiled Excel sheets that show a few aspects of data quality, but if information Jeff S. Jin ted mckinnon is truly an enterprise asset, shouldn’t we be measuring and Manager, Enterprise Applications Senior Data Modeler, Genentech monitoring it like we do with all the other assets of the University of Texas M. D. Anderson Cancer Center organization? Like most other things, data quality can only Genentech is currently three years into a system re- be managed properly if it is measured and monitored. This presentation describes the challenges and lessons engineering project that is replacing all systems that learned from the Enterprise Vocabulary and Model efforts • How to identify robust and meaningful data quality KPIs support our sales and marketing functions. At the outset undertaken at M. D. Anderson over the last 18 months. It • How to tie data quality to business processes of this effort, we developed a conceptual ER data model will also touch upon issues when attempting to have your • How to address all dimensions of data quality covering a significant portion of the businesses processes team adopt a new Vision, achieve more with less, embrace • Why data quality monitoring must go hand-in-hand with in scope for the re-engineering effort. This has since change and leverage free/open source technologies in a data governance program been developed into a detailed logical model that we are creating production applications. Topics and examples • How to balance measurement with prevention using to create physical schemas for use in both our BI focus upon Semantic technologies such as RDF, OWL, and messaging environments. Using a single model to Ontology’s, REST and others. derive both the database schema for a normalized DW, RooM: XXX and hierarchical XSD schemas for the ESB is not without building a business case for Data RooM: XXX its challenges. However, we feel this has been highly technical introduction to the national successful and is providing many business benefits. We on the cloud will share details about our data architecture, project work information Exchange model (niEm) and development processes: level: intermediate level: introductory • Business benefits such as simplified data movement, standardization alex rosen Donna m. roy • Driving closer collaboration between ETL and ESB VP Strategic Architecture, MomentumSI Director, Enterprise Data Management Office / development teams NIEM Project Management Office As you consider float and project savings that can be • Using a DW not only for BI, but also to propagate achieved through data on the cloud, it will be evident that The National Information Exchange Model (NIEM) is enriched, standardized data to applications via the ESB deeper financial analysis is required. The IT executive’s a Federal, State, Local, Tribal and Private interagency involvement in the financial underpinnings of cloud initiative providing a foundation for seamless information adoption can expand well beyond the tradition IT budget exchange. This session will equip program managers, line items. This means distilling the analyst rhetoric, technical architects and implementers with an introduction deciphering vendor projections, running RIO scenarios to NIEM, its technical structure and organizational benefits. EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 15
    • ConFEREnCE SESSionS tuesday, marcH 16 contribution of knowledge about analytical best practices RooM: XXX cOnfEREncE SESSiOnS • And what the future may hold given the versatility and Developing and Executing a Global power of open source tools to create dynamic, extensible 11:30 AM - 12:30 PM and cost-effective metadata presentation Data Strategy RooM: XXX RooM: XXX level: Advanced Semantics for Social Search: improving it Service Delivery through John carter Easy to build, hard to buy an Electronic Service catalog SVP, Chief Data Officer, Equifax, Inc. level: intermediate At Equifax, we are now executing a Global Data Strategy to level: intermediate drive sales and profitability for the company. With a diverse kai m. holthaus set of applications across many countries and business christine connors Director, Shared Services units, it was critical to develop a Data Strategy that could be Principal, TriviumRLG LLC Governance, McKesson Corporate IT understood by senior executives, tied to company growth and deployed locally across the company. To be successful, this process involved overcoming many challenges brandy lee Demarco including competing priorities, fragmented decision rights, kevin lynch Senior Product Manager, McKesson Corporate IT legacy systems, suboptimal data management practices in IT Fellow, Raytheon Missile Systems application silos, and overall lack of data governance. In McKesson Corporate Information Technology (CIT) has this session, we will cover the key topics related to defining Social search is now considered a core collaborative capa- embarked on a multi-year journey to become a customer and executing a successful Data Strategy: bility for all IT applications, and the design challenge is to centric IT service provider. In this session, Kai and Brandy make social search available across applications when there will focus on their IT organization’s Service Delivery • Defining a Data Strategy and linking it to corporate are no COTS tools considered viable. POWDER has just Model (SDM), which describes a tactical approach to revenue growth and profitability been approved as a W3C standard and is being used as the service development, with its roots in ITIL v3. Core to • Leveraging existing data assets across diverse applications basis for semantic social search integration to keep develop- the SDM is an electronic Service Catalog, which is used • Using analytics to assess the value of new and ment costs and elapsed development time low, even though to present services to end-user consumers and economic existing data the development staff began with no exposure to semantics. buyers, perform automated order fulfillment, and track • Measuring and understanding data ROI This presentation describes the software architecture of the consumption patterns within the businesses. They will • The importance of data quality matters and how to integration, and is intended for web developers and software explore the data model used for the Service Catalog, how demonstrate it development managers who have had a minimal overview relationships between the catalog entries are mapped and • Measuring and tracking success of semantic technology. Attendees will learn about: how the data is relevant and shared across other groups and • How the POWDER standard is used to identify behind- organizations within McKesson and the Service Catalog. RooM: XXX Their presentation will include: the-firewall content Data.gov: answering the Demand for • The ontologies developed for the integration and search • McKesson’s ITIL strategy, including ITIL v3 and SDM • The open source tools used for the development • Service Catalog development and implementation open Government Data • Why – and how – IT will have to change to accommodate • How information is stored in the catalog, and how semantic applications relationships between catalog items are modeled level: intermediate • Overview of the key benefits realized Suzanne acar RooM: XXX Co-chair, U.S. Federal Data Subcommittee RooM: XXX Wikify your metadata! integrating Data.gov is the evolving centralized catalog for how to ask for money for your government raw datasets and information feeds. Since business Semantics, metadata Discovery, Data management projects its launch, Data.gov is the unique example for sharing and knowledge management government data that was not always easy to find, access, and re-use. The objective is to provide Federal Executive level: intermediate level: introductory Branch non-sensitive datasets for third party creative John o. biderman Jeanne laughlin re-use that help give citizens visibility into the actions of Information Architect, Director of Marketing and Sales, Data Blueprint their government and to participate in the development of Harvard Pilgrim Health Care innovative solutions to the problems the U.S. nation faces. Business and IT persons attempting to secure moneys Points of emphasis will include: for data profiling, data governance, data integration and data stewardship projects are often discouraged by senior • The evolution of Data.gov cameron mclean management’s lack of sponsorship and/or attention. This • Revolutionary ideas from use of Data.gov data services CEO, World Class Objects course will give data managers the tools to uncover the • What state and international governments are doing We were given an imperative from our business leaders to real dollar impacts of poor data management within their • What citizens are saying provide a friendlier and more collaborative front end on enterprise, and to articulate the real or potential negative • Future directions our metadata, in order to aid in adoption of the Enterprise impacts to the operations. This interactive presentation Data Warehouse and engage business SMEs in ownership will consist of actual examples and success stories, along RooM: XXX of data definitions. The set of driving requirements -- ease with detailing the process for uncovering pain points, of navigation, search, and ability for end users to add monetizing findings and creating a cohesive case for data Why Facebook Games are taking annotations, comments, and articles that transcend discrete management investments. Discussion points will include: over my life data elements or subject areas -- lent themselves to a wiki. This in turn led us to MediaWiki and the rich and • Defining your data management needs level: Advanced diverse array of add-ons developed by the Open Source • Identifying key stakeholders and their agendas • Uncovering specific and definable financial impacts of Dave menninger community. In this session we will show: Vice President of Product Management poor data management • How we programatically load and refresh information Vertica Systems, Inc. • Monetizing findings, preparing a cohesive business plan from our structured metadata store (in a relational to clearly articulate your case for spending, and how to The most sophisticated consumers of real time analytics database) into the wiki ask for the money! are online game developers. These hardcore shops run • How our Enterprise Logical Data Model and associated 24x7 iterative development processes driven by analytics vocabularies provide a taxonomy under which to organize gathered from their customers. This session will discuss metadata for search and business context how these companies have built operations to support rapid • How we exploited the semantic extensions to meta-tag content development and deployment driven by user behavior. into business concepts and auto-generate pages in the wiki We’ll cover the infrastructure, including where cloud • How the wiki encourages refinement of data definitions and computing is leveraged, appropriate organizational struc- 16 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • tuesday, marcH 16 ConFEREnCE SESSionS ture and requirements from the data team. We’ll review Oracle. Mr. Arnold will summarize the current climate of tools that support real-time analytics and methodologies operationalizing bi and Data integration online information access, covering how data is organized used to push out updates hourly. Attendees will learn: in the cloud and how users access dataspaces through various vendors and search engines from major industry players. Content • The architectural differences between back office EDW management is, like enterprise search, quite a pain point. and business critical analytics level: introductory While a competency for some companies like Google, • How to build an infrastructure to integrate analytics John bair data management is a challenge for most vendors. He will • What social and process challenges you will need to CTO, LaunchPoint summarize what users generally want when they search tackle online, what they usually find, and what questions the “new • Where and how to start transforming your infrastructure wave” of search systems will raise, including implications for personal privacy, commercial information companies, mike pittaro and agencies generating content. in-PERSPEctiVES Co-Founder, SnapLogic • Advent of Utility Search 1:45 PM - 2:15 PM This session, aimed at business leaders and architects, will • Recent Trends discuss the impact of the cloud on BI and data integration. It • Observations presents a case study of data mining and BI-enabled business • Search systems, yes, but from whom? RooM: XXX services in the cloud. Attendees will gain insights into: your cloud, my cloud, any cloud • Usage scenarios to consider RooM: XXX level: introductory • Key business, architecture and operational considerations • Quantity and types of data sources and the possible utilizing the Federal Enterprise martin Schneider locations of integration architecture to open up the SugarCRM • Changes in data delivery Government: a private citizen’s Guide • Case study implementation results to Government Data The buzz around cloud computing has reached a fever • Roadmaps for the future pitch. But for many proponents of cloud computing concepts, the infrastructures supporting their views is RooM: XXX level: introductory closed and fixed. But for enterprises to truly benefit from cloud computing concepts, resources must be portable, the hillman Group Finds Supply Dean allemang Chief Scientist, TopQuadrant readily available and open. Learn how commercial open chain Success through bi technology: source, non-affiliated distributed computing providers, and a case Study The federal government used the Federal Enterprise the general move towards standards across the board, will Architecture (FEA) to organize itself. With the advent of enable the true potential of cloud computing. the Government Transparency initiative, the FEA has found level: intermediate a new charter. Government information is now available to private citizens on a scale never before seen. Jim honerkamp From Data Discovery to mDm: Chief Information Officer, The Hillman Group And this information is being published in reusable ways using technologies like RSS, RDFa and XML. But true the Single-platform approach The Hillman Group distributes a line of hardware products government transparency relies on an understandable to Data management RooM: XXX and manufactures equipment for cutting keys and organization of data. This is where the FEA comes back in. engraving tags. With 12 distribution centers and about The same enterprise architecture that makes government level: introductory 1,800 employees, Jim Honerkamp, CIO at The Hillman data manageable by the government can be used by Group needed help with supply chain management. Enter private citizens to make sense of the newly available brian mcvay business intelligence (BI) technology. By integrating GIS government data. Sr. Solutions Engineer, software into the BI application, managers can map DataFlux • Survey of available data sources like data.gov, specific data and make cost-effective decisions about Companies worldwide are struggling with the spread of recovery.gov, oe.gov, governmentspending.gov, etc. product shipments. Honerkamp will discuss benefits of data throughout the enterprise – and an ever-growing • Outline of the FEA and its importance BI/GIS integration and how the company built a business mix of technologies to manage that data. In this session, • How to merge this data in meaningful ways, including intelligence application that speeds up decision-making participants will learn how a single platform for the key tips and tricks (based on real-time data), empowers business users, and requirements of data management, including data quality • Application demonstration helps managers identify and address problems. Honerkamp and data integration capabilities, can help companies fix will discuss: their data challenges today and realize immediate benefits • How BI technology allows hundreds of people on “the RooM: XXX from their data assets. The session will also demonstrate how these capabilities can be extended to build the front lines” to identify sales trends across product lines. Security, Governance, and the • The company combined the business intelligence (BI) information lifecycle foundation for more complex, resource-intensive goals like initiative with the development of a new Web portal to data governance and MDM. deliver information to more people, more efficiently, and in a more usable format. level: Business • The specific benefits attributed to BI/GIS technology. cOnfEREncE SESSiOnS Hillman has already realized hard-dollar returns by being ronda r. henning Sr. Scientist, Harris Corporation able to rebut vendor fines when accused of sending an 2:30 PM - 3:30 PM incomplete order. Networked information systems are subject to enterprise governance constraints and/or security requirements. These RooM: XXX RooM: XXX requirements frequently address user behavior, system connectivity, access controls, and continuity of operations. the Data management challenge: There is another element that must be considered to Google, microsoft, ibm and oracle in provide a useful environment: The data lifecycle itself. Enterprise Search Information may be imported, processed, exported, stored, deleted, and archived in the course or system operation. This presentation addresses the considerations of the data level: intermediate lifecycle and the impact these constraints have on the Stephen E. arnold governance and security of the information system. This President, Arnold Information Technology presentation: • Describes the information lifecycle, and how it differs This session discusses the challenges of enterprise search from the system lifecycle as related to competitors Google, Microsoft, IBM and EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 17
    • ConFEREnCE SESSionS tuesday, marcH 16 • Defines the relationship to governance functions including 10 questions you should ask about the data has broad strategic implications for the Enterprise. The • Presents cost/benefit assessment of security architecture - How to gather primary data, and the formulation of principles behind these architectures borrow from the solutions questionnaires and management of surveys Semantic Web architecture, emphasizing concepts like • Examines the use of compensating controls as alternative “strong identifiers” and “shared semantics.” But rather than solutions taking a dogmatic approach to implementation, this view cOnfEREncE SESSiOnS takes a pragmatic approach, focused on making Enterprise RooM: XXX data integration easier and capturing the competitive 4:00 PM - 5:00 PM advantages of publicly visible data. modeling the Enterprise – a practical approach RooM: XXX • Identifying core versus context data the compliant cloud • The role of public data behind the firewall • Hybrid integration architectural foundations level: introductory • Public data publishing strategies level: intermediate • Advantages to bringing partners into the cloud matt creason Principal, System Consultant, Sybase, Inc. marne E. Gordan Regulatory Analyst, IBM RooM: XXX To solve any type of ‘Enterprise’ level Information or holistic Architecture in any organization is a challenge. In The benefits of cloud computing are many – but so are the master Data management Evolution - this session I will present practical approaches I have used risks. What are the threats to Cloud security? Which parties a case Study of Finance master Data with my clients to move the Enterprise into Architecture. assume responsibility for securing the environment? What This session will cover the details of the organizational, about the data? Which type of cloud deployment offers behavioral, and structural components needed to convey superior security benefits? This presentation examines level: Advanced the value of Enterprise level Architecture to your Cloud Computing from a security and compliance vanitha Srinivasan organization, while also delivering the promised value perspective. Global information security standards Enterprise Architect, Intel Corporation through proven practices, frameworks, and methods. and prevalent regulations focus on maintaining the confidentiality of data, leaving technology responsible for Master data management (MDM) is a collaborative process RooM: XXX it processing to the discretion of the affected organizations. between IT and business for various master data subject Most of these documents were written prior to general areas. At Intel, the finance organization partners with IT adopting the Dmbok - availability and adoption of Cloud Computing as a business in the lifecycle management of finance master data. This the tEluS Experience model; none currently contain cloud-specific requirements. session will walk through the challenges and wins in the A regulated organization must therefore balance evolution of finance MDM from 1996 to present day from technological momentum with regulatory inertia. How siloed individual organizational processes to integrated level: intermediate have global standards such as the Payment Card Industry enterprise efforts. The journey will also provide key Data Security Standard (PCI DSS), for example, kept pace insights into strategies planned for the next few years. Key mike beauchamp Senior Data Architect, TELUS with emerging technologies and business practices? take-away for attendees are: TELUS established a Data Management Office (DMO) • Risks and challenges to finance master data management RooM: XXX within the Business Transformation and Technology • Organizational alignment tips to support the strategy Operations team and joined together the previously Governance Strategy for Successful bi • Effective governance methods and practices dispersed functions of Data Architecture, Systems for technology management • The vision and drive to future state Business Intelligence, Database Administration, and Quality Assurance. With the publication of the DAMA RooM: XXX DMBOK in early 2009, a decision was made to use it as level: intermediate the framework of reference and operating model for the measuring the business impact of Sam E. paper TELUS DMO. This presentation is a “year in review” SVP, Architect Mgr, Bank of America Data Governance report card of this adoption. level: Advanced RooM: XXX David paper From the Whiz kids to the numerati: Professor, Utah State University tony Fisher President and CEO, DataFlux Shifting it From being technology-centric Most technology is transparent to business users. BI is to information-centric one of the unique technologies that directly “touches” the business users and so the business/IT alignment must be unique to be highly successful. Attendees will learn how to: Walid El abed level: Business CEO and Founder, Global Data Excellence Ltd. • Effectively govern IT strategy initiatives with BI neil c. hepburn modeling (maturity model drives adoption and metrics Organizations that recognize that customer service and Data Management Consultant, Hepburn Data Inc. drive execution) business processes depend on “fit for purpose” data have an • Select appropriate process tools for oversight planning advantage over those that don’t. In contrast, organizations The success of analytically focused organizations such as who do not pay appropriate attention to data quality end Netflix and Harrah’s Entertainment has captured the • BI on-boarding process • Effectively manage oversight activities up with delayed invoicing, slow cash collection processes, popular imagination. Books such as Competing On inefficient sales and marketing and reduced confidence in Analytics, Data Driven, SuperCrunchers, and The reporting and decision making. Data governance is a real Numerati herald a new age of competition centered around value add and risk management program. This session RooM: XXX analytics. However, most large organizations see their IT gives an overview of a data excellence maturity model departments as cost centers used to automate business private Data and the public Data cloud: that measures organizations in terms of ability to generate processes and provide basic reporting. Most IT profession- Why mixing public Data is Good business business value from enterprise data. What can you do now? als are in a position to navigate information better than anyone else in the organization, yet are regarded as little • Start by measuring how bad your data is – perform a data more than “go-to guys”. In this presentation, Neil will: level: intermediate quality audit • Link the resulting metrics to business • Provide a rationale for making IT information-centric as Jamie taylor • Calculate the business value you could generate with high opposed to technology driven Minister of Information, Metaweb Technologies, Inc. quality data • Provide techniques on collecting and harmonizing • Take rapid action external data, including: Access to public data has created new opportunities for architectures that mix public information with private • Define the critical business rules which rely on high - How to procure and evaluate external data sets, quality data to execute data. Though built on existing technologies, this approach 18 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • tuesday, marcH 16 ConFEREnCE SESSionS RooM: XXX how Do you know your architecture EXHiBitS nEW iDEAS plans are meeting business needs? 5:00 PM - 8:00 PM 8:00 AM - 8:30 AM level: intermediate RooM: XXX William a. Wimsatt Technical Director, Wells Landers Group WEDnESDay, march 17 rethinking Data management in an Evolving integrated Data Space This session will discuss how to measure architecture EARlY SESSiOnS success and value. This presentation will include a discussion of value measures: IT Effectiveness, Business 7:30 AM - 8:30 AM level: Advanced Value, and Financial Attractiveness. We will also discuss the need for a balance objective (ROI, IRR, etc.) and David r. Salmen RooM: XXX CTO, Data Tactics Corporation subjective measurements (quality, confidence, etc.). The presenters will demonstrate practical techniques for a Data-Driven approach to Star-Schema We are proposing a new approach to data integration that measuring and managing your architectures and project with examples from EA suites, Business Intelligence Tools Generation we call Data Description Framework (DDF). In its core is a unified abstract data model that imposes no restrictions and Portfolio Management tools. level: intermediate on the source-subject of integration: neither on its model, • Drivers of business value – financial and operational nor data types, nor data modality. Original data and perspectives larry Seid data-semantics can be accommodated within the DDF • Identify a valuation framework for your architecture: data Sr. Analyst, Pacific Northwest National without loss and or distortion typical for data integration quality, data confidence, business value identification Laboratory approaches. The approach offers important benefits in the • Provide a framework for estimating value of these EA environments where diverse sources need to be integrated Sylvia harris in an ad-hoc fashion, e.g. military applications. Because processes Sr. Analyst, Pacific Northwest National Laboratory • Provide a framework for maintaining measurement over the resulting Data Space does not adhere to a specific time domain data-model we need new Metadata Management approaches and policies: How often have we encountered the need to structure RooM: XXX information for business intelligence purposes where the • Post-Load and continuous Data Quality control. relationships and/or labels for categorizing the data don’t • Evolving Reference and Master Data that are subject to abstract Data models for Data Services exist in source systems? integration itself. and Software as a Service • Meta Metadata Management. The new Metadata This challenge led analysts at the Pacific Northwest Management approaches are being implemented within a National Laboratory to develop a process that utilizes a DoD intelligence data integration project. level: intermediate data driven approach to categorize and label information David c. roberts based on business requirements. The final product is a RooM: XXX Enterprise Data Architect, published star-schema that can be easily leveraged by our Central Intelligence Agency business intelligence tools. With this process, we have overview of Enterprise meta The traditional data model is developed following experienced a considerable reduction in development time architecture Delivering Semantic careful analysis of a single problem, and expresses and have an easily-maintained transformation model that Software components the fundamental relationships inherent in the problem. involves changes to data as compared to changes to logic In today’s use, the problem may change over time, or as relationships change or new relationships are defined. Key capabilities include: level: intermediate the same data model may be used to support different organizations from a single data model. In these cases, • Custom labeling of information sets in support of mark arquette different applications may need to represent information business intelligence needs Architect, MD Anderson Cancer Center differently. Our approach is to use an abstract data model, • Re-use of standard categorizations and relationships to that stores in data much information that has heretofore Architectures develop Enterprise RDFS and Ontology’s support development of hierarchies been stored in the database structure, and to provide an meta models as input to model transformation engine. • Point-in-time generation of information utilizing date abstraction layer of software so that applications deal with Transformation engine attempts to build dynamic reus- parameters a straightforward interface. Many of these needs can be able NET and Java semantic components. Goal is to bind accommodated by permitting the creation of subtypes semantics, domain models and value data in a component RooM: XXX freeing developers from the tasks of becoming subject dynamically, without changing the relational database structure. The benefits are: Dama-Dmbok Working Session - matter experts and solving the O/R impedance mismatch. In addition the architecture will provide physical JSON, • Wide variation in the use of a single physical data model chapter 10 Document and content E/R and Object models from a baseline Enterprise meta- can be accommodated without changing the data model management model. Semantic components are modeled by Domain or affecting other applications Knowledge experts and configured to provide the • Data services can adapt to the changes, so that different properties required by the process state and/or user role. data uses can be supported without the need to rewrite level: intermediate data services Susan Earley Presentation will provide an overview of the • Software as a service can support a great variation in use Project Architect/Sr. Data Modeler, U.S. Cellular architecture for generating multiple .NET components, of the service physical model standards and software components from Our goal is to present the context diagram of the chapter, the base Enterprise meta model. In addition the presenta- solicit commentary on the content, then review the chapter tion will discuss the challenges, advantages, obstacles sections and solicit commentary on each section of the and success of the project. chapter. The intent is to solicit commentary directly from the attendees on how to improve the DAMA-DMBOK for the next version. Attendees should have reviewed the chapter before the session in order to provice constructive commentary. EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 19
    • ConFEREnCE SESSionS Wednesday, marcH 17 RooM: XXX sensitive information and of allowing companies to use it. This presentation uses a case study to outline how the Frightening stories of identity theft have had the result that InfoGrid post-relational application platform can be used managing Social networks from an many consumers would rather keep information such as their to rapidly develop high-quality, maintainable applications Enterprise Data architecture perspective: names, addresses and phone numbers strictly private, even that meet these requirements. Specifically, the following integrating ontologies with Structured when making purchases. This presentation will look at these techniques will be used: Enterprise Data to more Effectively issues and what it means to CDI and MDM. We will discuss: • Model-driven development • Data source access via Probes manage organization relationships • How we got to the Identity vs. Privacy problem • REST-ful design • What it means to businesses, especially B-to-C • User-centric event notification level: Advanced companies • Deployment on either relational databases or an • How CDI/MDM might help resolve the conundrum William J. pjura information grid. • What some leading businesses are doing now Enterprise Data Architect, • How this may evolve over the next decade or more Cambridge Interactive Development Corporation RooM: XXX In today’s competitive business climate, managing the RooM: XXX using Web 3.0 technologies to unlock business’ social network (i.e., customers, vendors, partners, affiliates, and employees) relationships is more critical how to Effectively manage in real-time knowledge in the Enterprise than ever. Both practice and policy decisions will be made “Data about other Data” or metadata based on the organization’s understanding of the state of level: intermediate these relationships. The integration of corporate private level: intermediate ontologies and standard published industry ontologies Jans aasman (when available) into the organization’s enterprise John trembley CEO, Franz Inc data management strategy promotes a more effective VP Product Management & Marketing, Xeround This presentation will profile a project where we addressed management of the organization’s social network. The challenge today is how to architect a scalable, reliable two of the major problems large enterprises typically face To this end, this presentation will: and easily extensible metadata depository capable of when trying to analyze information across databases. The • Present a semantic-based strategy for relational data handling a growing number of data inputs and requests. schema integration issue was solved by translating the modeling and developing ontologies The solution is to create a thin horizontal and virtualized various schemas into a Resource Description Framework • Describe how standard functional area ontologies, metadata layer capable of reliably delivering data in (RDF) database and then adding metadata over time to standard business vertical ontologies, and private real-time from anywhere and at anytime. This layer also these schemas that allow for progressively more complex corporate ontologies can be integrated with traditionally needs to be able to connect southbound to a number of queries over the relational databases. The data itself is structured data different types of data stores and, when needed, cache maintained in the original databases. The data integration • Describe how an enterprise data architecture (EDA) that some of the actual content for higher performance access problem was addressed by building a second, orthogonal integrates ontologies with traditionally structured data to the data. This session will include a detailed look at how RDF database that consists of metadata which connects can effectively extend the dominion of enterprise data a major communications service provider (CSP) in the canonical versions of entities to the various databases management into unstructured data worlds such as social US implemented a new architecture to manage metadata where these entities reside through a common vocabulary. networks to improve their customer experience. Attendees of this For example, selecting a particular customer we would session will learn: chose the most common name and use that as the canonical RooM: XXX version and provide the proper symbolic mapping to • Why virtualizing metadata reduces performance the various databases. We can now perform queries that Data integration as a Service - not Just bottlenecks and improves service delivery flexibility touch all databases when looking for information about a an Etl tool after all which in turn means a competitive edge particular customer, product, or service. • How to effectively ensure that a metadata repository is highly scalable and geo-distributable for better level: Business performance and availability RooM: XXX calla h. knopman • How such an architecture can become a single source xbrl: revolutionizing business reporting for many applications without incurring cost-prohibitive Managing Member, Knopman IT Consulting, LLC scalability or integration issues Data Integration as a service is the application of a set of level: Business services provided to meet a wide range of business impera- tives. DI is far beyond the data warehouse and indeed the nEW iDEAS Greg Zegarowski President, Financial Leadership Corporation DW is a subset of the applications enabled by it. Enabling DI-AAS across the enterprise in a Service Oriented Archi- 8:45 AM - 9:15 AM The recent financial meltdown has highlighted the tecture provides both the IT and Business units value in: need to improve the transparency, accuracy, timeliness, • Increased IT agility - ease of metadata management RooM: XXX and accessibility of financial information. Extensible Business Reporting Language (XBRL) is an international • Enablement and conformation to the Center Of model-Driven Development of standard for the tagging of business information Excellence applications that need to integrate • Reduced total cost of ownership in machine-readable formats. It is being adopted Disparate Data Sources in real time globally by stock exchanges and regulators such as the This talk will focus on the benefits achieved from DI- Securities and Exchange Commission. The main value AAS, the high level architecture to support it and steps to With infoGrid.org proposition for companies and other organizations is that implement. XBRL can streamline internal reporting, assist in data level: intermediate migration/integration, and empower Web 2.0 financial RooM: XXX communications. In this session you will learn the Johannes Ernst following: identity vs. privacy: the Data conundrum Founder/CEO, NetMesh Inc. • How XBRL is being leveraged to improve internal Enterprises always have too many disparate information reporting by companies such as Fujitsu and government level: intermediate sources that are managed independently, must be accessed agencies in the US and Europe with different protocols, and use conflicting schemas. • How companies such as Oracle and Microsoft are ted Shelly However, today’s users are demanding integrated (not embedding XBRL capabilities into their products Principal Consultant Pinnacle, Project Group LLC stovepiped) applications that bring together all information • How XBRL facilitates conversions to International that matters to them. Not just presentation, but semantic Financial Reporting Standards Effective CDI brings together all the data available about information integration is required. If all of that integration • How 10,000 US companies will learn about XBRL in the the customer to provide an integrated view, allowing for is supposed to happen in real-time, enterprises are often next two years better customer service, better marketing and business unable to deliver to their users. success. But increasingly, customers are wary of providing 20 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • Wednesday, marcH 17 ConFEREnCE SESSionS RooM: XXX RooM: XXX Solving the real-time Data crunch With cOnfEREncE SESSiOnS tricked by the relational paradigm – Streaming SQl Why Some Data Does not behave as 9:30 AM - 10:30 AM We Expect RooM: XXX level: Advanced next Gen Data integration level: intermediate Julian hyde includes the cloud Chief Architect, SQLstream michael Scofield Relational databases are a trusted solution to many data Asst. Professor, Loma Linda University level: intermediate processing problems, but they struggle when data is After many years of data modeling, and using relational arriving with high throughput and needs to be processed Suresh chandrasekaran databases, we tend to assume things about data (descriptions with low latency. Streaming query engines use similar Sr. VP, North America, Denodo Technologies of reality) which just aren’t necessarily so. For example, paradigms, such as the SQL language, but process data in the “set” concept of instances represented by rows tends to flight much more efficiently and are more scalable. Despite automating some manual web extraction, companies continue to be dogged by a breakdown in seduce us into thinking that all rows are comparable in Using detailed examples relating to web infrastructure (for currency, accuracy, and/or definition. Similarly, many example, realtime clickstream analysis), we will consider existing processes when integrating SaaS, web and cloud applications. But a sound solution is found in business users of data, upon receiving a “complete” column several applications where a data processing professional of data tend to assume that all the cells in that column are would naturally think of using a database -- but would be Web Process Automation which allows companies to orchestrate data flows across the firewall seamlessly of equal accuracy. We will examine some really reckless wrong. The presentation will include: assumptions we often make about data. Traditional tabular integrating applications in the cloud with applications • Overview of streaming SQL technology inside the firewall. For example: An online educational structures do not accommodate ambiguities or uncertain- • Will feature concrete examples, including SQL and institution admitting GIs into its university uses Web ties of identity, name, dates, etc. Few tables are designed to demonstrations Process Automation to integrate their admissions system accommodate estimates. These issues are essential to data • Particular focus on web infrastructure problems (but the with internal Government records to automate GI status quality assessment and drawing appropriate conclusions techniques can be applied to any application area) validation, collection of relevant information, background from data. In this talk you will learn: • Building continuous analytics check, eligibility for classes, billing the Government for • Common mistakes and assumptions about tabular data • How streaming query engines complement data enrollments etc. A large national insurance company uses • What granite gravestones tell us about data ambiguity warehouses and OLAP servers Web Process Automation to automate the agent onboarding • How to detect estimates in numeric data process. The process earlier involved time-consuming • What modeling and design mistakes lead to these RooM: XXX manual effort including verification of state license validity, problems background check, validation of exam results and much • How “cellular metadata” might mitigate some errors Data Exchange at the netherlands more combined with internal enterprise data, but is now ministry of Justice: Generation of efficiently automated. RooM: XXX business Document xml Schemas using oWl and the un/cEFact cctS RooM: XXX business Semantics-driven integration of turning Data into merchandising reality Service-oriented applications level: intermediate level: intermediate level: intermediate pieter De leenheer harry biersteker Information Architect, Ministry of Justice ardley tschetter Assistant Professor Information Architect, OfficeMax Collibra nv/sa & VU University Amsterdam Business semantics define the contextual meaning of key ralph hodgson business assets for your organization in terms of business Executive Partner, TopQuadrant Inc. facts and rules. The derived business semantics do not only John Ford provide a shared glossary to augment human understanding, Director of Business Intelligence, OfficeMax Exchanging information between government parties but can also be used to automate meaningful data requires a consistent, reusable and repeatable approach OfficeMax tapped the expanded powers of analytic integration during process integration. Many organizations to specifying messages from components. Within The queries offered by an emerging columnar, massively- start to realize the potential of business semantics to Netherlands Ministry of Justice (MoJ), a program for an parallel database management system to mine deeper leverage information management, and take initiatives ontology-based approach was started in 2007, motivated by into transaction data than was ever before possible. at the grass roots. However sustainable and meaningful the failure of Object Models and XML Schemas to deliver OfficeMax replaced multiple static long running queries business semantics management must be organized and a reusable component –based solution. These approaches with a single analytic database that could generate results, cultivated organisation-wide by the right balance of people, lacked sufficient semantic consistency for transformation without tuning or indexing, for far more complex queries, methods, and tools. In this talk you will learn: to message building blocks. OWL is used both for the which OfficeMax couldn’t run in the past and which • That your organization already has much valuable representation of the conceptual models of legal domains, other solutions OfficeMax considered couldn’t perform metadata as building blocks for business semantics; UN/CEFACT core components, and business documents either. The results dramatically improve their ability to • Identify business drivers that convince senior (data exchange definitions). Information Analysts use the analyze sales transactions into business decisions in just management to prioritise and free the necessary budget model driven Metadata Workbench to tailor and compose minutes for almost any question business executives and resources accordingly; components to specify the business documents that make can pose. Standard queries used to take to take 12 to 18 • Outline a roadmap to implement business semantics up the electronic messages. XML Schemas are then gener- hours and not only can OfficeMax have answers faster, management as part of the overall information ated for use by the various MoJ organizations and systems. but faster answers to questions they could never before architecture and governance plan. One of the deployed projects, the Criminal Law Chain, will ask. Merchandising managers now have more powerful be used for demonstrations, and to highlight insights and tools for improving their merchandising capabilities and lessons learned. optimizing promotions, shelf space and product placement for promotional selling seasons and everyday offerings. EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 21
    • ConFEREnCE SESSionS Wednesday, marcH 17 RooM: XXX data dictionary, and how it is evolving through the life of RooM: XXX comparison of Enterprise Data platforms the project. challenges in Developing cross-functional • Looking at the ERL-ROME Master Data Model, its implementation, rollout and how we will maintain it and cross-system metadata Standards: level: intermediate going forward. a case Study of american Greetings • The RDBMS and XML binary data stores. How we have William mcknight solved the issues of transaction management between the two. President, McKnight Consulting Group • Pros and cons of implementing a centralized data level: Business architecture vs. a distributed model, and why we chose to Nonstandard architectures and approaches are providing Stephanie lemieux go with a centralized model. options for data warehousing and the storage of large data. Taxonomy Practice Lead, Earley & Associates, Inc. Data warehouse appliances claim to provide scalability at a lowered cost. Open source seems to be an attractive RooM: XXX At American Greetings, a greeting card manufacturer, metadata is mission-critical as it drives the management alternative. Columnar-oriented DBMS are claiming the communicating with business people and measurement of the digital assets that make up their analytical category. SaaS BI is emerging and the near- through high level models future promises viable options of cloud, “correlation” and products. In this case study, we will review how metadata distributed computing frameworks. This presentation, was reconciled and harmonized across a number of diverse unbiased and from experience, will educate and outline the systems that supported multiple functions, from creative level: Business processes, to manufacturing, to business intelligence. pros/cons of each. chris m. bradley Business Consulting Manager, IPL We will describe the challenges in developing metadata RooM: XXX standards and controlled vocabularies with cooperation lean Data Governance – from multiple functional areas, including derivation and an iterative approach validation issues. Hear about how AG was able to get Donna burbank all these different stakeholder groups to participate and Director of Product Marketing, CA collaborate on a joint taxonomy framework. We’ll describe level: introductory how AG was able to focus on the needs of the immediate Businesspeople are key to provide the core information anne marie Smith about the business that you use to build data models and implementation of the digital asset management system Director of Enterprise Information Management, database applications. But have you ever tried to get a while considering the future needs of the product lifecycle 21st Century Insurance businessperson to read a data model? Did their eyes glaze management tool or manufacturing systems. We’ll also This introductory seminar will provide an overview of data over? This session discusses how to use high-level data issues of organizational and behavioral change and the governance, its purpose, and how it can be implemented models to communicate with businesspeople to get the challenges in implementing metadata governance bodies quickly in any organization. The attendees will gain an core information you require to build robust database and processes. understanding of the importance of data governance, applications. It will focus on what core information the foundations of a data governance program, the data is needed, how this can be easily communicated to RooM: XXX steward’s function and the steps needed to implement businesspeople, and what visual constructs to use to an iterative governance and stewardship program. The get their attention. A real-world case study at a major information Governance and seminar will provide proven approaches to the lean, international oil company will be presented and reference information integrity at bmo iterative implementation of a data stewardship and made to easy-to-use templates and guidelines for a step-by- Financial Group governance program. Attendees will learn about the step approach to implementing a high-level data model in importance of a specific plan for implementing your your organization. level: intermediate own governance and stewardship program and the organizational structures and roles that are essential to a Wayne harrison successful governance/stewardship program. cOnfEREncE SESSiOnS Senior Information Consultant BMO Financial Group • Fundamentals of data governance and stewardship • How to develop an effective plan for managing 11:00 AM - 12:00 PM In BMO Financial Group, embedding information governance as part of doing business, rather than a expanding information requirements iteratively RooM: XXX separate initiative has proven to be a highly successful • How to address the political issues and organizational challenges of data governance and stewardship next Generation insider threats – way to introduce data governance. Backed by an excellent metadata infrastructure and a well engrained • The importance of data governance to the enterprise Stories from the trenches risk management framework we have made progress and the ways to create and sustain the data stewardship in establishing information accountabilities for key function without disruption information, established frameworks for information level: intermediate integrity processes We will present BMO Financial Groups RooM: XXX brian t. contos progress and learning in these areas: Chief Security Strategist, Imperva Inc. all roads lead to rome – the Global • Establishing information integrity accountabilities, Insider threats are a growing risk. With trends in standards and processes across all our critical enterprise Data initiative case Study, 1 year later digitization and information sharing, malicious insiders can information (e.g. risk, financial and customer) more easily and quickly steal sensitive information while • Balancing privacy requirements with our need to share level: intermediate reaming stealth to most countermeasures. This is especially customer data the case when considering privileged users such as DBAs • Aligning information standards and common vocabulary Joshua Feinstein-plummer and system administrators. The network security solutions with enterprise architecture, and metadata integration Sr. Data Architect, Standard and Poor’s we all grew up with are virtually useless against threats processes to data-centric attacks. A new approach is needed. This In the spring of 2008, we embarked on an enterprise- presentation will focus on five areas: wide global data initiative. Our goal was to move from a RooM: XXX regionalized data model to a universal and worldwide data • Who are the malicious insiders and what makes them tick delivery platform. Our firm’s key asset has always been • Why is data - intellectual property, credit card, healthcare trends in business intelligence our domestic and international intellectual content; hence data, etc - the new target implementing a truly global distributed data architecture • What type of damage can malicious insiders cause level: Business is vital to our future growth strategy. We are now fully • War stories engaged with the implementation phase of the Global Data • Malicious insider mitigation techniques - technical and Jorgen heizenberg Initiative. In this presentation, we’ll look back at our design human Principal Technology Officer, Capgemini and see how well it is translating into implementation. Topics that will be addressed during the presentation: Information is crucial to fight challenges but also in trying to identify chances and possibilities. What are the major • The ERL-ROME database, Data sourcing and the master trends in Business Intelligence and how is it impacting 22 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • Wednesday, marcH 17 ConFEREnCE SESSionS your organization? Capgemini explains how you can make RooM: XXX and practical solutions to support integration, application use of data in order to make the necessary decisions under development, and data warehousing teams. At the end of these fast changing circumstances. learning the Database landscape in the this session, attendees will be able to: opensource world • Describe the difference between data model data RooM: XXX level: Advanced domains, application “picklists” and broader reference after the Fall: the Effect of the data concepts robert bernier • Understand key challenges in reference data management Financial meltdown on Data PostgreSQL Business Intelligence Analyst, and the type of solutions that can be implemented management in the u.S. Medio Systems Inc. • Have a common vocabulary based on established industry This session walks through the mysterious valley of standards to manage reference data opensource databases. How did it start? Is an opensource • Network with others that share similar passion and level: intermediate challenges database really an untried, unproven technology? What april reeve does it mean to your mission when you choose an Consultant, EMC Consulting opensource database versus the traditional product? Who is who? What’s the significance of the license behind the Following the financial meltdown in the U.S. all are software? Where do you find the experts? Whom do you cOnfEREncE SESSiOnS waiting for the coming additional financial regulation. This hire? How do you train your staff? Where do you find the presentation will briefly cover significant new regulation consultants when your staff isn’t enough? Open source 1:30 PM - 2:30 PM that gets announced before the conference and the data databases are more than just a product, it’s an attitude. This management implications. session will push the curtain to the side and show you the RooM: XXX real politics and dynamics behind the opensource database. At all organizations, it is clear that there is a growing In these times you can’t afford not to learn about your Eim – Strategy to pragmatic Delivery acceptance of the need for risk management and the options in this brave new world. – organizational capability approach investment in it. Risk management is all about the collection and use of massive amounts of data. Is the from a business perspective greater acceptance of the need for data management also RooM: XXX related to or independent of the financial meltdown? What Every Data manager needs to level: Business More regulatory reporting and more risk management know about health informatics means more data and more data management. mark o’Gorman Enterprise Information Architect, Sun Life Financial level: Advanced • What is changing in Data Management? Information Management (IM) is rapidly being recognized • What should change? pamela k. hulse as a business enabler; however, EIM strategies are often • How do we prepare for the change? Director, Health Informatics, met by resistance due to the sheer size and complexity. The Data Governance Institute Often, there is a sense of ‘boiling the ocean’ or one of an RooM: XXX Healthcare is one of the fasted growing areas of our ‘academic exercise’, resulting in a ‘knee-jerk’ reaction economy, so there’s a good chance that working with to looking for the technology ‘silver bullet’. How do we business value assessment for Health Informatics could be in your future! If you want move Information Management strategies from conceptual mDm initiatives to bring your experience in other verticals to healthcare, value to operational impact? Come and here about SLF’s you’ll need to understand the resources, devices, and EIM journey and how the EIM strategy was repackaged methods required to optimize the acquisition, storage, into ‘bite-size’ pieces to deliver immediate business value level: Business retrieval, and use of information in health and biomedicine. while advancing a larger EIM Strategy. Learn how SLF has You’ll also need to understand the fundamental differences approached: nagesh kanumury MDM Practice Director, Perficient Inc between working with administrative data and clinical data. In this session we will discuss: • Engaging stakeholders and gaining buy-in Business and IT in Organizations understand the value of • Identifying high-impact information management data and are beginning to realize how master data can help • Architectures for electronic medical records, and other capabilities for the organization unlock the value of that data and make it more trustworthy. health information systems • Incrementally developing Enterprise IM capabilities However they struggle in coming up with a Business value • Technology: decision support systems in healthcare, • Link specific Information Management capabilities to assessment to overcome perceptions of complexity and including clinical decision support systems near-term business value hesitation around cost and time to ROI. The primary focus • Standards (e.g. DICOM, HL7) to facilitate the exchange • Align near-term efforts with an overall EIM strategy of this presentation will be on helping organizations identify of information between healthcare information systems and quantify the business benefits that an MDM solution • Unique reference data: Diagnoses and procedure codes, nursing codes, clinical codes and the concept of CODE RooM: XXX can help achieve. Some key areas of focus that factor into the net present value of the business case are: • Universal data quality expectations and the introduction of From Data management to analytics - • An organization’s industry, business model, business the “five rights” that are embedded in health informatics a Slow but Steady Journey climate (including competitive and regulatory pressures) • Unique categories and metadata, including controlled medical vocabularies level: intermediate • “As-is” state for managing their master data • What marginal change is required to transform the current peter aiken environment to the desired master data consolidation end RooM: XXX Associate Professor/Founding Director, state VCU/Data Blueprint • Degree to which, the current IT infrastructure business understanding and managing culture and processes are preventing an organization from reference Data in today’s Enterprise achieving their goals • Total Cost of Ownership level: intermediate rob reynolds • Time to implement Risk Director of Special Projects, Markel Insurance mehmet orun Senior Manager, Data Architecture & Large organizations face several challenges when Analysis, Genentech attempting to implement BI. These can be divided into technical and non-technical. We’ll discuss a project history, Despite ever-increasing focus on Master Data Management the challenges, the rescue approach, and progress to date. in organizations, reference data management, a key component to MDM often lags behind or focuses on siloed solutions such as data domain definitions only. This presentation provides a broad overview of Reference Data Management concepts, the functions that needs to be implemented to have a successful enterprise solution, EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 23
    • ConFEREnCE SESSionS Wednesday, marcH 17 RooM: XXX RooM: XXX certification tales from a master Data management practicing Enterprise information • Receive valuable guidance for developing a personal educational program as a data management professional transformation roadtrip architecture ii: What to Deliver and how level: introductory to Deliver information architecture RooM: XXX art Garanich taming the hierarchy monster Director - Information Technology, level: intermediate Credit National Association level: intermediate xinhua Deng Senior Information Architect, Freddie Mac bonnie k. o’neil President & Premier Data Architect, Jaime Fitzgerald Westridge Consulting Managing Partner, Fitzgerald Analytics The Relational Model offers the most flexible way leon J. bernal In 2007, our private label credit card company was Information Architect Team Lead, Freddie Mac of organizing data; it replaced several other types of constrained by an outdated legacy environment and a databases, including hierarchical. However, because it was culture that was not sufficiently “data-driven.” Since then, At the 2009 DAMA EDW conference, Freddie Mac designed to correct many flaws of hierarchical structures, we have discovered the power of MDM principles, and Enterprise Architecture presented “Practicing Enterprise consequently it doesn’t implement hierarchies very well. transformed ourselves into a “data-driven organization” Information Architecture to improve data quality, build Therefore, just about any way you implement a hierarchy which profits from our data assets, analytic processes, better systems, and reduce costs”. Continuing with the in a relational database is a “cludge”. This presentation and information advantages. Today a Data Mart pilot is Practicing Enterprise Information Architecture topic, demonstrates the different options available to us and the underway, deploying the skills of our “MDM Team”. The this presentation elaborates on what to include in the trade-offs for each. The attendee will learn: power and importance of MDM is understood by the whole information architecture deliverables, and how to deliver • A framework for evaluating different approaches to of the Executive team and reinforced through departmental information architecture, by illustrating timely case studies. model hierarchies “Data Stewards” who are consistently involved in gaining This proposal will answer following questions: • Plusses and minuses of each approach and sharing MDM knowledge. In this session, we will • How to deliver information architecture to support • When to choose which based on types of data explore how we: initiative and project lifecycles • Data warehouses vs. 3NF and hierarchies • Changed our MDM “Mindset”: Went from oblivious to • What does the information architect consider when Master Data Management principles to embracing them producing and reviewing information architecture • Developed a Plan • What contents are included in information architecture cOnfEREncE SESSiOnS • Went Beyond IT: The keys we found to creating cross- deliverables: architecture assessment, decisions, open functional collaboration on Master Data Management and issues, assumptions, end state vision, business model, 3:15 PM - 4:15 PM getting Executive team buy-in logical data model, and information model, architecture • Achieved Tangible Results: Developed more robust data risks, architecture alternative analysis, and architecture RooM: XXX evolution priorities. assets that have driven millions of dollars in increased profit putting theory into practice in the real RooM: XXX World: a case Study of implementing RooM: XXX best career insurance for Data a new Data management program by Starting the Data conversation – Following time-tested Data resource a case Study of the Data management management professionals: continual Development and certification management principles and practices maturity model approach Developed and Deployed Within bp level: Advanced level: intermediate michael k. miller level: intermediate Enterprise Data Architect, Deborah henderson Cincinnati Corporation mona pomraning President, DA Henderson Consulting Ltd. Lead Data Architect, BP Cincinnati Financial Corporation is an insurance company located in the Midwest. Recently, enlightened management Learn how BP developed and deployed a maturity model began preparing for the future by implementing a true Data anne marie Smith approach to assess the current and target data management Director of Enterprise Information Management function. This meant a complete redesign maturity using the DAMA data management body of Management, 21st Century Insurance of the existing data warehouse and implementation of a knowledge (DMBOK). The assessment approach scales new environment that included provisions for high-value from a regional organization unit to a global international When the going gets tough, the tough get insurance for Business Intelligence, Master Data Management, Metadata data subject area. It facilitates the implementation of a their employment; and a great insurance ticket for Data Repository, and Data Quality. This presentation will include common, shared language, it raises the data management Management Professionals is continual education and a explanations of the approach and details as to how it has organizational capability, and it is easily understandable certification. This session will lay out good sources for been implemented. The speaker will draw on his experi- by the business. The approach is industry neutral, based continual education at various price points through various ences from both Cincinnati Financial and other previous on the SEICMM process, utilizes a 90 minute facilitated channels, including a handout of great links and services. companies to help attendees understand: workshop process and it provides a baseline for data You will also get an overview of the CDMP certification • The Business-driven approach vs. an IT-driven effort management capabilities and data strategic planning. in Data Management, statistics on its growing importance • Incorporating all the aspects into an integrated, holistic Participants will take away a process that can be easily with employers and employees alike, as well as approach adapted into their unique environment. suggestions on how develop a business case for your • The progression from Conceptual, Logical, to the • BP Case Study Context certification. This is a personal development resource Physical implementation through detailed transformations • Based on DMBOK & SEICM session gem! Objectives: • Planning the business and technical migration the ‘New • Facilitated Workshop • Develop an understanding of the changing nature of the World’ • Assessment Outcome DM profession • Practical application of the Zachman Architecture • Spider Diagram • Create and awareness of the need for continual education Framework • Gap Analysis narrative in data management to protect the professional from • Incremental approach to Master Data Management obsolescence • Learn about the many ways to acquire increased knowledge of all aspects of the data management discipline • Learn about the Certificate for Data Management Professionals (CDMP), its content and the process for 24 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • Wednesday, marcH 17 ConFEREnCE SESSionS RooM: XXX advanced conceptual hierarchical operations. It is explained multiple uncertainties regarding the regulations, the size look before you leap: a business how hierarchical structures are extremely useful at and the nature of the business, and innovative ways in accumulating data that increases in value at an astonishing which these challenges were addressed. The healthcare case for Data Quality nonlinear rate. This is further increased by multipath organization used a lightweight architectural approach queries utilizing natural semantics between pathways. inspired from TOGAF, COBIT, IEEE 1471, ISO 12207, level: Business ISO 15288, APQC, GPMSS and Baldrige National Quality Helping put these capabilities to use, there are recent Program. The case study details the business, data, data James m. viveralli findings in hierarchical data modeling eliminating data access, application and technology views, modeling Data Architect, Erie Insurance Group modeling restrictions allowing unlimited hierarchical data diagrams and development suites. It includes the business mashups to be performed interactively and correctly by transformation methodology and the lessons learned. Getting access to data is sometimes a problem for business nontechnical users. The following advanced capabilities users; but, more often the issue is getting access to good are covered: data. Using data to make decisions can be disastrous RooM: XXX without checking the quality of the data first. A data • Navigationless schema-free hierarchical access a Systems approach to Data and profiling tool can be used to help perform a data quality • Dynamically creating more data value than was captured its management assessment and provide tangible evidence to support a • Seamless lossless relational/XML data integration business case for pro-active data quality. Presenting the achieved results to business executives without losing their attention • Advanced nonlinear hierarchical processing explained level: Business can be a bigger challenge than the actual profiling. • New hierarchical data modeling discoveries utilized Selecting the right data value outliers is sometimes the best noreen kendle approach. Categorizing all the outliers can also provide the Senior Analyst, The Gartner Group RooM: XXX following metrics that are easy to understand and present to In this economic climate, organizations can no longer management: location, location, location – Just as afford to shoulder the burden of the chaotic state of • Issue Counts by Subject Area in real Estate, location is the most poor quality unmanaged data. A tremendous amount of • Issue Severity Level important Data for the blm resources are wasted chasing the data problems, but the • Issue Root Cause even greater costs result from the unknown, inaccurate • Issue Remediation Strategy data that is used to make critical business decisions. A level: intermediate change is needed. As Albert Einstein said, “We can’t solve This session will cover an actual study done at Erie problems by using the same kind of thinking we used when Insurance Group which was convincing enough to christine hawkinson we created them.” Adopting a systems approach will give management that they decided to create a Data Quality area Data Architect, G&B Solutions (at the BLM) organizations a strategic advantage and help ensure their in the company. survival in the uncertainties of tomorrow’s challenges. RooM: XXX • The Data Challenges: The first step toward solving any barb kett problem is to understanding the problem automating the management of reference BLM, Data Architect, BLM • A new look at Data: Understanding data outside Data, Generalized models and codes The Bureau of Land Management (BLM) manages 258 computer technology as a representation of the business million acres of federal land with the mission of managing organization, then used to operate, record, report, and resources for multiple-use. Location information is predict the business . level: intermediate • A systems approach to data and its data management: critical, master data to the BLM, and geospatial provides the knowledge needed to address issues across the BLM. Uses systems thinking to understand data holistically, karen lopez giving one consistent picture. Sr. Project Manager, InfoAdvisors For years, geospatial information was maintained locally. Now we are moving to the national level for consistency, Do you leave the management of reference data, codes, accuracy, sharing of information and reporting. RooM: XXX and enumerations up to developers or users? If so, you could be adding more risk than you are aware of. In Enabling customer master Data Feature Level Metadata (FLM) is an important aspect this presentation, Karen Lopez demonstrates tools and to understanding the source and accuracy of geospatial management at lexmark techniques for managing reference data and codes. Includes features. We require every office to document FLM. 10 success tips for keeping models and code values in Because of this we developed a standard Location Data sync. Topics will include: level: intermediate Model , included with every national geospatial data • Who should manage these? standard. This presentation will cover: Sreedhar Srikant • How should they be managed? Enterprise Data Architect, Lexmark International • Geospatial data standards and Feature Level Metadata • How do we monitor their use? • The location logical data model and implementation • Working with geospatial and tabular data RooM: XXX • Benefits and importance of standardized feature classes Swapan Dutta Semantically controlled hierarchical • Examples of how it is used Enterprise Architect, Wipro Data mashups and their Dynamic Lexmark has embarked on a master data management processing RooM: XXX program to manage critical master data in the domains business agility, performance and of Customer, Product, Vendor, Material and Employees. This will enable core business processes in enterprise level: Advanced Enterprise architecture: a case Study in applications such as ERP, CRM and as well as business michael m. David healthcare intelligence. In addition one of the key deliverables was CTO, Advanced Data Access Technologies, Inc. to provide clean master data for ERP and CRM migration programs. Customer data management has its unique This session describes how multipath hierarchical level: Business challenges such as multiple sources of master data in structures are combined in any way retaining correct existing source applications, external data, data quality Dorin andreescu results. This is achieved utilizing SQL’s inherent levels and real-time data synchronization needs. President, GPMSS hierarchical data processing. This involves explaining how We started out by identifying the core systems and hierarchical: data modeling, data integration and semantic The presentation describes a comprehensive case study understanding business requirements followed by a data information are utilized. SQL’s hierarchical data modeling of how a medium size healthcare organization is using profiling activity to understand data quality levels. Using allows relational logical and XML’s physical structures enterprise standards, best practices and an architecture the results, we defined data quality rules. We followed to be seamlessly integrated with no data loss. It is shown framework to enable business agility and performance. this with data matching and de-duplication activity using when restricting data modeling to hierarchical structures, This organization is specialized in Medicare and Medicaid. an external validation service. Finally, this enabled the powerful hierarchical principles are enforced to perform It reviews the business and IT challenges resulted from creation of master data repository that had to be interfaced EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 25
    • ConFEREnCE SESSionS Wednesday, marcH 17 with other systems in the landscape. RooM: XXX implemented to provide HCSC a common platform for meta • Existing landscape and challenges with data powerDesigner SiG data about the systems, applications, interfaces, resources, and data that comprise its enterprise information assets. The • Architectural solution designed with common patterns MME enables the Information Governance & Stewardship • Technologies used for Data governance level: intermediate Program by providing context to information resources and • Lessons learned making it easily accessible to information stewards in the matt creason organization. This presentation describes the business value RooM: XXX Principal, System Consultant, Sybase, Inc. and challenges experienced by HCSC as it has implemented modeling as a risk-management This is a Special Interest Group on PowerDesigner to the enterprise MME as part of its overall EIM strategy. demonstrate tips & tricks, discuss enhancements, and Strategy provide a forum of interactive discussion. Topics of interest: RooM: XXX • Metadata Management and Extension how Data abstraction techniques level: Business • Reporting • Impact Analysis resolve the Data Sharing conundrum in robert Zoltok • New Release Features the intelligence community President & Owner, Roberts, Logan Inc. Modeling is usually viewed as a development technique RooM: XXX for databases (data model), for applications (process level: intermediate model), etc. This viewpoint completely misses the point Er/Studio Special interest Group bob blair of modeling and more often than not, leads to models that President, RW Technologies, Inc. bring little value in a project life cycle. A more realistic level: intermediate and practical way to view modeling is as a strategy for In the Intelligence Community simultaneously protecting risk management, i.e. managing the risk associated with and sharing information is one of the biggest challenges building databases, applications, etc. In other words, it’s bruce baum for data architects to grapple with. Information comes Global Data Architect, Siemens Energy from many sources, is stored in numerous formats, and not a technique to build something; it’s really a technique to manage the process of building something. Wrap up your day with practical wisdom about how ER/ must only be shared with appropriate parties. In this Studio can benefit you in your data modeling efforts. presentation we explain how data abstraction techniques Viewing modeling as risk management brings real-world You should attend the ER/Studio Special Interest Group can be used to handle the three primary concerns of sharing benefits that are very relevant in 2010. It also provides meeting if you want to: information, which we describe as: legibility, accessibility, a straight-forward set of 5 criteria that can be used to and accuracy. Most solutions to data sharing tend to focus develop, evaluate, and utilize models in a project. Those • See demonstrations of key product features only on the “legibility” aspect of data sharing, which is criteria will be presented, along with specific measurement • Learn new techniques you can apply immediately commonly handled via some sort of common messaging guidelines and the benefits they bring to managing the risk • Hear how to get more value out of your data modeling format (e.g., an xml schema.) However, accessibility of developing complex large-scale databases. activities (access control), and accuracy (data meaning) are just as • Meet other ER/Studio users critical. By using an abstraction layer based on a common • Overcome your hesitance to try more advanced features data model, disparate data is transformed to one common • Discuss upcoming product releases representation. Once this happens more information can be USER gROUPS • Voice your ideas and suggestions on how to improve the made available and access control decisions can be more product confidently applied. 4:30 PM - 5:30 PM Jump in on the discussion and exchange your own RooM: XXX RooM: XXX experiences in an interactive session. You won’t want to Strategic career planning and the cDmp miss this fast-paced hour of best practices using ER/Studio! predictive analytics for the masses: making the impossible possible level: intermediate thurSDay, march 18 level: intermediate Eva l. Smith ICCP Liaison, DAMA International cOnfEREncE SESSiOnS mike psenka Do you have a strategic career plan? Have you thought President, CEO, eThority about getting certified? In a competitive job market, 8:30 AM - 9:30 AM certification can help individuals stand out in a crowd Jim young of applicants. For employers, credentials can be used to RooM: XXX Director of Predictive Analytics and Modeling, differentiate between job candidates. But the certification Enabling Eim through an Enterprise meta eThority process can also be a management tool for development of teams or individuals. This presentation covers: Data management Environment Attendees will learn strategies for making predictive • An overview of the CDMP exam areas and how to use analytics available to all of their end-users, not just this framework for strategic career planning level: Business statisticians; as well as how paradigm shifts in predictive • Types of certification and how each fits into a professional modeling will increase the accessibility of this technology. ngan macDonald The presenters, a UC-Berkley PhD’ed statistician and a development plan Sr. Manager • Benefits of the CDMP for the data management professional passionate software usability design expert explain how EISM, Health Care Service Corporation • Benefits of the CDMP for employers and managers of this paradigm shift is not only possible, but critical. data professionals • The process of becoming a CDMP; preparing for and RooM: XXX taking exams michael F. Jennings Exploring heterogeneous oceans of • The bodies of knowledge and professional development VP Professional Services, EWSolutions resources for data professionals Data – Semantic Web ontologies As the health care industry continues to evolve, it is imperative to manage our information in order to advance information quality and to provide information transparency level: intermediate to fully utilize the vast data available throughout HCSC. Business users in the organization need easy access to yijing Jenna Zhou an enterprise wide, reliable, accurate source of meta data Associate Consultant, Eli Lilly and Company (definitions, calculations, business rules, etc.) to use when To remain competitive in today’s world of rapidly- analyzing information or making business decisions. An changing technology, we must be able to successfully Enterprise Managed Meta Data Environment (MME) was separate the winners from the also-rans (i.e. “if” the 26 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • tHursday, marcH 18 ConFEREnCE SEMinARS technology will win). Moreover, we must understand the RooM: XXX current level of maturity and future potential (i.e. “when” Sustaining your Data Quality program cOnfEREncE SESSiOnS the technology will win) as well as the problem spaces for which it is appropriate (i.e. “where” the technology will 9:50 AM - 10:50 AM win). Designed for moderately experienced data modelers/ analysts and above who want to gain an understanding of level: intermediate RooM: XXX how semantic web ontology can benefit their organization, this presentation will cover the following topics: teresa m. cox how to integrate modeling and Lead Data Quality Analyst, AEGON USA Web 2.0 technologies to improve • Comparisons of semantic web approach to relational communication modeling and object-oriented modeling • A case study thomas r. neff level: intermediate • Ontologies in Life Sciences Manager Process Management, AEGON USA Jason E. tiret • Future steps A study co-authored by David Newman, research vice Director, Modeling and Design Solutions, • Potential applications president with Stamford, Conn.-based Gartner Inc., Embarcadero Technologies predicts that by 2008 less than 10% of organizations will Automated and efficient communication can cure all. RooM: XXX succeed at their first attempt at data governance because However, it’s seldom the case. Web 2.0 collaboration tools the mDm Journey at australia post of cultural barriers and a lack of senior-level sponsorship. like wikis are emerging within data modeling, providing Our presentation will explain how we have succeeded a much-needed central location for documentation that in sustaining our DQ program via the following steps/ can be reviewed and edited by multiple people and evolve level: intermediate methods: with requirements. The pitfall, however, is that they often Eva Sarah Gardyn • Define business rules as part of metadata development lack integration with the models and metadata. Or, worse Principal Information Architect, Australia Post • Monitor these business rules yet, the wikis point to model reports that are outdated. The • Provide metrics surrounding rule exceptions, emphasizing feedback loop breaks. Things fall through the cracks. Time Australia Post’s IT landscape is complex, with a and resources are wasted. wins combination of packaged software (large dependency on • Track rule exceptions back to broken processes SAP) and in-house development. Multiple copies of the This session looks at some of the popular collaboration • Report cost benefits to resolving these broken processes same data are contained across heterogeneous systems in and wiki tools in use and demonstrates ways to integrate • Assist data owners in establishing business rule Service multiple, inconsistent formats. The organzation is seeking them directly with your models and accurate reports that Level Agreements and using these as tools for long term new opportunities as the postal business is declining. are updated automatically. You will also learn how Web 2.0 process improvement Senior business executives have recognized the issues technologies like commenting and object labeling can be around master data and its impact on constraining the directly integrated with your model review and workflow As a result of this, we will present to you how we have business to embark on new directions. Australia Post process, making it easier than ever to communicate and not only sustained our program, but are growing our is committed to supporting a major MDM initiative to collaborate with developers, DBAs and business users who program to include a defined group of Six Sigma certified improve the management and quality of important business can provide feedback on the accuracy of the models and individuals focused on Business Process Improvement. data in support of its business strategies. Before we started metadata. determining our desired destination, we needed to gain a good understanding of our current situation, including RooM: XXX systems inventory and assessment, data profiling and our the Serious business of Fun: managing RooM: XXX current processes around data. Data in online Games Soa Data Governance – managing your Data in motion RooM: XXX practical principles learned in 3 years level: intermediate level: Advanced of Data Governance brian Sletten President, Bosatsu Consulting, Inc. patrick cross CTO, Fosgail Corporation level: Business This talk will be a walk through of the software and data architectures as well as the development and testing SOA governance is accepted as a critical success factor pablo J. riboldi procedures used by Riot Games to prepare for the launch for SOA implementations, but too little attention in placed Information Governance Manager, LDS Church of their game League of Legends. With an expectant user upon data management. Traditional data management base numbering potentially in the millions, we needed techniques are not sufficient to effectively govern data This is a real case study (no sales pitch, no sugar-coating, in agile SOA efforts and integrating data management no aspirin, no buffering agents) sharing the adventures of a a strategy for handling issues of scale and security most organizations never have to imagine. As companies shift to into the SOA governance processes is critical to the long 3-year veteran Information Governance Manager at a large “data health” of an organization. Effectively managing non-profit organization. You will learn principles of Data distributed development and processing models, however, the problems solved in the video game space will become your “data in motion” can begin with smaller steps and Governance with real life advice on how to apply them and grow over time, just as effective SOA governance often how to avoid common pitfalls. Some of the chapters in this the problems of more conventional organizations. We will discuss our experiences of: proceeds. Keys to managing your data in motion include: saga include: • Scaling a data tier horizontally • Leveraging existing SOA governance checkpoints and • Data Stewards and what to steward applying appropriate skills to data review • Policies, principles, and publicity • Leveraging commercial and open source software • Application of agile development methodologies • Creating appropriate policies and procedures which • Data Sharing Agreements: who can have what when recognize the decentralized efforts occurring at most • Sharing methods: from pass-through accounts to MDM • Developing sophisticated load testing environments • Considering opportunities for leveraging the cloud organizations and SOA • Leverage SOA Center of Excellence or SOA Tiger team • Distractions and dead-ends, how to avoid them • Dealing with localization approaches to help projects “see the light” • Current efforts and future plans • Prevent governance efforts from becoming “gates” or hurdles to be avoided as too cumbersome EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 27
    • ConFEREnCE SESSionS tHursday, marcH 18 RooM: XXX • Data Stewardship (overseeing the corporate Data Data Strategy on a Shoestring Assets) SEMinARS If you have a MDM program starting up or in-flight, perhaps you can pick up a few pointers to help out your 1:30 PM - 4:45 PM level: Advanced organization. RooM: XXX chris allen S1: Gaining visibility into your Data Principal IS Architect, Amgen RooM: XXX through Data visualization Vocabulary. Reusable components. Governance. instant Enterprise information models – Quality. You know what needs to be done. But nobody Just add patterns level: intermediate wants to foot the bill. lyndsay Wise Geared toward Data Architecture leaders, this session level: Advanced President, WiseAnalytics shows how you can make measurable progress with John Giles Gaining visibility into the successful management grass-roots resources. You will leave able to: Principal Consultant, Country Endeavours of data management initiatives, whether they be • Scope the data-oriented business services you can master data management, data quality, or meta data reasonably provide How much of an enterprise information model can be management across the organization can be quite • Develop a pragmatic strategy for making progress delivered in weeks, or even days? You obviously need difficult. Organizations may have ways of managing • Build a roadmap leveraging milestones from key experienced modellers, plus a library of base business processes, but not of setting targets or of collaborating projects patterns (Party, Event, Agreement, ...). But you also with different data stewards to develop a cohesive look • Deliver concrete improvements to data ROI need my “pattern of patterns” that guides how these at information across the organization. The proper use • Build your resource base by franchising your approach essential building-blocks can be assembled. Real- of dashboards can help organizations manage these to others life examples will demonstrate that a fit-for-purpose initiatives, set targets, identify lack of compliance before enterprise model can quickly deliver tangible value it occurs, and collaborate on a broader level across the RooM: XXX through this astute use of “patterns”. These models are organization. What this helps ensure is the ability for code management Systems in large not “quick & dirty”. By building with proven patterns, data management initiatives to be managed effectively, you can provide a stable foundation for longer-term for gaps to be identified, for communication between Enterprises - challenges and Solutions evolution. Instead of, “You get what you pay for”, you IT and business to be improved, and for metrics to be can get a lot more model, for a lot less effort. Attendees managed in a proactive nature. This course will help level: intermediate will receive: participants: • A fresh understanding of how to judiciously apply • Understand the role of using dashboards and data Saad yacu published base patterns. System Analyst / Tech Lead, Allstate Insurance visualization as part of an overall data management • My “pattern of patterns” framework, with worked initiative This presentation discusses the design concepts behind examples across several diverse industries. • Look at benefits and challenges of dashboard a successful implementation of a large scale enterprise • Considerations essential to successful ROI. deployments within these types of projects codes management system. The presentation includes a • Warnings about the “traps-for-young-players”. • Build a framework or set of best practices to bring brief description of the concepts of a code management back to their organizations in relation to the design of system. It will progress into explaining the concepts RooM: XXX these tools of enumerated and non-enumerated code sets. It will viral Data in Soa: an Enterprise • Develop an understanding of different requirements tackle the differences between application codes and based on the type of initiative within the organization enterprise codes and conclude by providing solutions pandemic • Real life examples of current uses to deployment of the collected data to applications in the enterprise. The presentation is based on an actual level: Advanced RooM: XXX implementation currently consisting of about 3000 code sets. Some of the other discussed topics are: neal Fishman S2: rESt and resource-oriented Program Director Information Forensics, IBM architecture • Enumerated Codes Sets and Code Sets Versioning • Codes Deployment Strategies Based on the book of the same name, viral data in SOA • Code Sets mapping to logical and physical attributes reviews undesirable effects associated with engaging level: intermediate • Code Usage Scenarios (activating or hosting) information through a service. • Implementation challenges and successes The presentation illustrates numerous data quality brian Sletten problems and their causes and describes a number President, Bosatsu Consulting, Inc. of solutions that are relevant to managers, analysts, There is tremendous interest in REpresentational State RooM: XXX developers, and data/database administrators. Transfer (REST) as an architectural style for building real-world Struggles and Successes • The issue scalable, flexible, information-driven architectures of implementing a master Data • Viewing business data as metadata in the Enterprise. The success of the Web has caught management Environment • Why loosely coupled architectures are tightly bound our attention in the face of increased complexity and • Distinguishing between data governance and data many failures with more traditional Web Services level: Advanced management technologies. The problem is that it is difficult to sell Gene boomer • Crafting software solutions a way to do things. Managers do not want to feel like Systems Architect, • The use of data abstraction they are innovating in the middleware space. They want OneAmerica Financial Partners Inc. to understand why they should deviate from the blue prints laid down by the industry leaders. They want to This session will describe OneAmerica’s progress with understand when they should use REST, when they its MDM program since its inception 2 years ago. We should use SOAP and when they might fallback to will review what has worked, was has not worked, and regular old Java-based messaging. They want to make what we have yet to do to further our program. Specific business-based technology decisions that lay a path to topics covered include: forward progress rather than paying for technological • Sponsorship (how to get things started and, more flux. Attendees will be introduced to global standards importantly, to continue) and common solutions to a wide variety of Enterprise • Data Strategy (current approach and moving forward information management needs. NetKernel will be with the DM-BOK) used for the implementation but almost all of the ideas • Data Architecture (highly normalized Subject Areas) will translate to JSR-311, Restlet, EasyREST or other • Data Workflow (process of handling Data Requests) implementations. Topics will include: 28 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • tHursday, marcH 18 ConFEREnCE SESSionS • Why bother with REST? • What about SOAP? their problems, understand their desired state, are capable of leading them to that state, and are worthy of funding! FriDay, april 10 • REST for managing information • REST as scalable architecture This workshop introduces a free “fill-in-the-blank” data fREE fRiDAY BRiEfing • Building RESTful APIs strategy template that makes it easy for you to compile a • Information-driven architectures high-level strategy -- or just gather the information you 8:30 AM - 12:00 PM • Introduction to NetKernel need to succeed in your mission. While you won’t leave • Wrapping legacy systems with a hundred-page document, you will have a succinct RooM: XXX • Architectural migration strategies document that explains the data implications of what your consulting Skills for it professionals • Introduction to applying semantics to resource and organization wants and desires, current gaps, approaches service-oriented architectures to getting there, timelines, priorities, key roles, and success measures. Attendees will be provided with: level: Business RooM: XXX • A template Graeme c. Simsion S3: Data Governance and Dancing • A process for completing the template Principal, Simsion & Associates in the rain • Boilerplate language that can be tailored to your needs Seasoned consultant and renowned IT executive Graeme • A mapping of sections of this document to the robust Simsion shares principles and techniques learned level: intermediate DAMA Body of Knowledge from thirty years experience as an internal consultant, • A formula for communicating the business value of each robert S. Seiner independent consultant, consulting manager and consulting section of the strategy. President / Publisher, educator. He shows you how to: KIK Consulting / TDAN.com • Gain a deeper understanding of client needs and priorities RooM: XXX • Establish clear expectations While the financial storm rages outside (and sometimes S5: let’s talk business: a practitioner’s • Keep the project on track, and the client engaged inside) your organization’s walls, the risks, problems and opportunities surrounding data are not going away. Guide to communicating about Data • Deal with problems - and difficult people Chances are management considers managing the risk • Build trust and effective long-term relationships around data (compliance, security, classification) to be very level: intermediate important. Chances are management is looking to improve Graeme has presented consulting skills workshops at the value they get from data through BI, MDM, ERP and Danette mcGilvray previous IT conferences in North America and the UK DQ. However, many of these initiatives have been placed President and Principal, Granite Falls and they are consistently rated amongst the most valuable under a temporary awning until the storm passes. This sessions. You will not only gain a deeper understanding of You have expertise in or are responsible for some aspect the consulting process, but will take away tips that will use workshop will focus on sharing ideas about how to move of data management – modeling, architecture, metadata, every day. “Loads of Useful Stuff” is the workshop motto. Data Governance forward while it is raining outside. The quality, governance, stewardship, etc. But success of your session covers how to put the basic components of a Data job, program, or project requires commitment from people Governance program in place without worrying about the who don’t understand data or what you do. Getting support impact of the storm. Hey … one might call that dancing. in the way of time, attention, money, and other resources And who cares if you get a little wet! This session will continues to be a challenge. For those whose profession cover five things that you can do quickly and inexpensively revolves around data it is often hard to understand why to solidify the foundation of an effective Data Governance “they” don’t get it. They may be those who make critical program: decisions about funding and resource allocation that • How to demonstrate to management that an effective impacts data activities, yet don’t understand the role Data Governance program only costs the time you put information plays in what the organization is trying to into it. Incremental costs only come through expansion accomplish. They may be peers or colleagues where their and acceptance and formalized involvement. input and subject matter expertise are needed, but they • How to identify the person(s) that will have the can’t seem to take time to meet. Find out what isn’t taught responsibility for defining what data governance will in school or on-the-job training: mean for the organization. • Figuring out what you want. (It may be harder than you • How to pick a project or an activity (BI, MDM, ERP, DQ, think.) …) to work with and learn from and leverage this activ- • Figuring out what they need. (Connecting the dots between ity’s use of the appropriate people to define, produce, use data and their concerns.) and resolve issues specific to data related to the activity. • Figuring out why they should care. (What’s in it for them?) • How to record information about the people engaged in • How to share it. (Communication guidelines.) the data activities associated with that activity through the use of a proven self-developed tool that records and tracks Come prepared to join in and participate as this is a highly information about domains and business areas. interactive workshop. • How to define a pragmatic framework of Data Governance roles & responsibilities, addressing operational, tactical, strategic, executive and support management and mapping the roles to existing level of governance. RooM: XXX S4: a Fill-in-the-blanks business-Friendly Data Strategy level: Advanced Gwen thomas President, Data Governance Institute It’s amazing how many organizations haven’t documented their data strategies. That makes it very difficult for those of us who have to contribute to decisions about how to structure data, store it, manage it, secure it, ensure its quality, and otherwise make it fit for use. It also makes it difficult to explain to your business stakeholders that you understand EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA 29
    • gEnERAl inFoRMATion conFErEncE policiES Payment Policy: All registration fees must be paid in US Dollars. Full payment must be made prior to attendance at the conference. It is strict policy that only U.S. government employees may submit training authorization forms in lieu of prepayment. The Federal ID Number for Wilshire Conferences, Inc. is 95-4755805. Checks must be made payable to: Wilshire Conferences, Inc. (Mail to: 13020 Dickens Street, Studio City, CA 91604) Confirmation: Registrations will be confirmed via email. Special needs: Wilshire Conferences supports the Americans with Disabilities Act. If you require special assistance, please call (310) 337-2616 or email info@wilshireconferences.com. Cancellation Policy: Should you need to cancel for any reason, please notify us in writing. Substitutions may be made at any time. Cancellations received on or before February 12, 2010 will be subject to a $100 cancellation charge. Cancellations received between February 13 and February 26 are subject to a $400 cancellation charge. Cancellations received on or after February 27 will not be entitled to a credit or refund. Confirmed registrants who do not attend and do not cancel are liable for the entire registration fee. Please note: Non-payment does not constitute cancellation. Hilton San Francisco Union Square 333 O’Farrell Street Schedule: While every effort will be made to maintain the San Francisco, California, 94102, USA about thE orGaniZErS schedule exactly as represented in this brochure, we reserve (415) 771-1400 the right to make changes and substitutions as needed. Visit http://edw2010.WilshireConferences.com for news and updates. acaDEmic DiScount Discounted registration fees are available to full-time faculty and Recording and Photography: Wilshire Conferences reserves students from accredited educational institutions. The academic the right to use photographs and images of any event attendee rate cannot be combined with other discounts. for future promotions. Videotaping, audio recording and/or If you qualify, please call (310) 337-2616 or email photography are not allowed without prior written approval of info@wilshireconferences.com for more information. dAMA international is a not-for-profit, vendor- Wilshire Conferences, Inc. independent association of technical and business professionals dedicated to advancing the concepts Solicitation: Solicitation at the event by anyone other than airFarE DiScountS and practices of information resource management exhibitors is strictly prohibited. Significant airfare discounts to Tampa from U.S. and Canadian (IRM) and data resource management (DRM). The cities can be booked through Journeys Abroad, the official association is comprised of local and regional chapters conference travel agent. Call 1 (800) 448-8150 or 1 (310) hotEl rESErvationS 446-4811 between 9:00am and 5:00pm Pacific Time, Monday around the world. DAMA’s mission is to promote the The conference takes place at the Hilton San Francisco Union understanding, development and practice of managing through Friday, and mention that you are attending Enterprise information and data as key enterprise assets. For more Square. A group block has been made for a specified number of Data World. Discount fares are subject to availability and certain sleeping rooms at the Hilton. A discounted rate of $199 (single information on the association visit www.dama.org. conditions apply. or double) is available for conference participants until February 5, 2010, or until the room block sells out, so we recommend that you make your reservation early. SpEcial Group DiScount For GroupS oF 4! Please contact the hotel directly to make your reservation by Your fourth registration is free with three paid. To qualify, the calling 1-800-HILTONS and requesting the EDW (Enterprise group members must be with the same organization and register Data World) conference rate. If you prefer to make your at the same time. If registering a group, please call reservation online, there is a link to the hotel registration system (310) 337-2616 for instructions. Wilshire Conferences was founded with the objective on the conference web site: of bringing high quality educational conferences to http://edw2010.wilshireconferences.com/travel.cfm. information technology professionals. In particular, about thE EvEnt Wilshire focuses on programs in the area of data Enterprise data World is a joint venture between DAMA international Attendees: The 1-800 telephone number may not management and application development. The International and Wilshire Conferences, a highly successful work from overseas. Please call 1 (415) 771-1400. company’s philosophy is to provide educational partnership now in its tenth year. A committee of DAMA environments that allow a high degree of interaction members develops the DAMA side of the agenda, while If you have any questions about booking a room at the hotel, between instructor and student, and between student Wilshire Conferences develops the Meta-Data agenda. DAMA please call Wilshire Conferences at 1 (310) 337-2616 or email us and student. Wilshire believes that shared experiences and Wilshire work closely to ensure that the combined event is at info@wilshireconferences.com and we’ll try to help. amongst peers provide the most cost-effective learning cohesive and seamless for our attendees. The combined event opportunity for IT professionals. For more information attracts approximately 1000 attendees, making it the world’s government Attendees: Wilshire Conferences has contracted on Wilshire Conferences and future conferences and largest vendor-neutral data management conference. a very limited number of sleeping rooms at the government seminars visit www.WilshireConferences.com. per-diem rates. Please contact Wilshire Conferences directly to reserve a government-rate room by calling (310) 337-2616 or emailing us. 30 EntErprisE Data WorlD 2010 • MARCH 14-18 , 2010 • SAn FRAnCiSCo, CA
    • marcH 14–18, 2010 REgiSTRATion FoRM HILTON UNION SqUARE 4 waYS To rEGISTEr: SAN FRANCISCO, CA Fax this form to: 310.388.1115 call +1.310.337.2616 sunday, march 14 monday, march 15 tuesday, march 16 Wednesday, march 17 thursday, march 18 1 mail this form to: Tutorial (Full day session) conference conference conference 2 Wilshire Conferences, Inc. 13020 Dickens Street 3 Studio City, CA 91604 USA workshop Tutorial (Full day session) conference conference Seminar onlinE (conference sessions end mid-day on Thursday) http://edw2010.wilshireconferences.com 4 QuEStionS fee (if PaiD) info@wilshireconferences.coms rEGISTraTIon opTIonS on or Before after All fees in US dollars february 5 february 5 Workshop, tutorial & Seminar Sessions Workshop, tutorial, conference Sessions, Seminar bESt WorkShopS sunday – thursday, march 14-18 m $1795 m $1895 valuE sunday, march 14, 2010, 3:30pm - 6:45pm m W1 Quality by design: data integration design Workshop, tutorial, conference Session techniques for improved information Quality sunday – thursday, march 14-18 (conference sessions end mid-day) m $1695 m $1795 (Andres Perez, IRM Consulting, Ltd. Co.) m W2 agile database development (Pramod Sadalage, Thoughtworks Inc) m W3 normalization - the achilles Heel of data modeling tutorial, conference Sessions, Seminar monday – thursday, march 15-18 m $1695 m $1795 (Gordon Everest, University of Minnesota) m W4 inevitable scenarios and challenges in data integration efforts and How to deal With them (Len Silverston, Universal Data Models, LLC) tutorial, conference Sessions m W5 re-energizing data management, governance monday – thursday, march 15-18 (conference sessions end mid-day thursday) m $1595 m $1695 and modeling in your organization (Janine M Stevens, Sabre Holdings Inc. Glenn Harper, Sabre Holdings Inc.) conference Sessions, Seminar m W6 data management on a shoestring – tuesday – thursday, march 16-18 m $1495 m $1595 “strategies for eim when money is tight” (John Ladley, IMCue Solutions) m W7 introduction to the semantic Web and ontologies (Dave McComb, Semantic Arts Inc. conference Sessions Simon Robe, Semantic Arts) tuesday – thursday, march 15-18 (conference sessions end mid-day thursday) m $1395 m $1495 m W8 decision models and business rules: everything data professionals need to Know (Ronald G. Ross, Business Rule Solutions Workshop, tutorial Gladys S.W. Lam, Business Rule Solutions, LLC) sunday – monday, march 14-15 m $945 m $995 m W9 semantic modeling for enterprise data architecture (Ken Orr, The Ken Orr Institute) m W10 data services & virtualization (Robert J Abate, Intellisys, Inc. any Single Day (indicate day here: ____________) m $745 m $795 Peter Aiken, VCU/Data Blueprint) non-attendee conference cD-roM tutorialS includes workshops, tutorials, conference sessions, and seminars on cd-rom. m $695 monday, march 15, 2010, 8:30am - 4:45pm sales tax will be added to california orders. all cds will be shipped after the conference. m t1 master data management (David Loshin, Knowledge Integrity) m t2 data management in the cloud (Malcolm Chisholm, Askget.com Inc) **registrations received after March 11 will incur an additional $100 onsite registration fee. m t3 data protection and security management as a critical part of governance (David Schlesinger, Metadata Security LLC) name first name as it should appear on badge m t4 data Warehouse rescue (Neil Raden, Hired Brains) m t5 How to successfully implement enterprise information management Job Title (David Marco, EWSolutions) m t6 enterprise metadata management - bringing order to the structured and unstructured Worlds company (Mike Ferguson, Intelligent Business Strategies Ltd) m t7 data modeling in the enterprise-wide vs. the development project context (William G. Smith, William G. Smith & Associates) address m t8 the fundamental Quality principles applied to total information Quality management (Larry P. English, Information Impact Int’l Inc.) city, State, Zip/Postal code country m t9 data modeling challenges Within trends and technology (Steve Hoberman, Steve Hoberman & Associates) E-mail Tel m t10 linked data for the Web and the enterprise (David Wood, Zepheira) SEminarS thursday, march 18, 2010, 1:30pm - 4:30pm MetHoD of PaYMent if paying by credit card, please provide the following: m s1 gaining visibility into your data through data visualization m credit card card number: exp date: (Lyndsay Wise, WiseAnalytics) m visa/mastercard m diner’s club m s2 rest and resource-oriented architecture card security code: (Brian Sletten, Bosatsu Consulting, Inc.) m american express m Jcb (3-digits on back of visa/mc or 4-digits above account # on ameX card) m s3 data governance and dancing in the rain (Robert S. Seiner, KIK Consulting / TDAN.com) name as it appears on your card: m s4 a fill-in-the-blanks business-friendly data strategy m check enclosed (payable to Wilshire conferences, inc.) (Gwen Thomas, Data Governance Institute) billing address (if different): m s5 let’s talk business: a practitioner’s guide to m bill me. po#_____________________________________ communicating about data signature (Danette McGilvray, Granite Falls)