Improving Quality and Adoption: EIM SQL Server 2012

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As your organization matures in its understanding of the value of BI and data as a strategic asset, it's only natural it will demand more from its BI platform.


Use this growing maturity as an opportunity to introduce the concept of Enterprise Information Management (EIM) to the organization. The concept may seem foreign to some, but when examined within the context of improving the quality of the information, which ultimately leads to better adoption of the BI platform, the benefits are compelling.


Join Perficient as we explore the technologies that will introduce the EIM concept to your organization, namely Master Data Services (MDS) and Data Quality Services (DQS). We'll even see these technologies in a live demo.


Presenter Duane Schafer leads Perficient's national Microsoft business intelligence practice. He has more than 16 years of experience providing guidance and thought leadership in the areas of Enterprise Information Management, Business Intelligence and Data Warehousing.

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Improving Quality and Adoption: EIM SQL Server 2012

  1. 1. Improving Quality and Adoption –Introducing EIM with SQL Server 2012
  2. 2. About PerficientPerficient is a leading information technology consulting firm servingclients throughout North America.We help clients implement business-driven technology solutions thatintegrate business processes, improve worker productivity, increasecustomer loyalty and create a more agile enterprise to better respondto new business opportunities.
  3. 3. PRFT Profile Founded in 1997 Public, NASDAQ: PRFT 2011 Revenue of $260 million 20 major market locations throughout North America — Atlanta, Austin, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Minneapolis, New Orleans, Philadelphia, San Francisco, San Jose, St. Louis and Toronto 1,800+ colleagues Dedicated solution practices 600+ enterprise clients (2011) and 85% repeat business rate Alliance partnerships with major technology vendors Multiple vendor/industry technology and growth awards
  4. 4. Our Solutions Expertise & ServicesBusiness-Driven Solutions Perficient Services• Enterprise Portals  End-to-End Solution Delivery• SOA and Business Process  IT Strategic Consulting Management  IT Architecture Planning• Business Intelligence  Business Process & Workflow• User-Centered Custom Applications Consulting• CRM Solutions  Usability and UI Consulting• Enterprise Performance Management  Custom Application Development• Customer Self-Service  Offshore Development• eCommerce & Product Information  Package Selection, Implementation Management and Integration• Enterprise Content Management  Architecture & Application Migrations• Industry-Specific Solutions  Education• Mobile Technology• Security Assessments Perficient brings deep solutions expertise and offers a complete set of flexible services to help clients implement business-driven IT solutions 4
  5. 5. Our SpeakerDuane Schafer• Manages the National Microsoft BI Practice at Perficient.• 16 years experience in providing guidance and thought leadership to his clients in the area of Enterprise Information Management, Business Intelligence and Data Warehousing.• Provided services ranging from Enterprise Data Warehouse architecture to EIM strategy and has worked with several Fortune 500 companies. 5
  6. 6. Agenda Base Assumptions  Quality is important What is EIM? • Gartner definition and functions Exploring the EIM services within SQL Server • DQS - Data Quality Services • MDS – Master Data Services Recap 6
  7. 7. EIM Poll 7
  8. 8. Perficient’s Microsoft Practices Microsoft NBU Business SharePoint Intelligence Cloud (Duane Schafer)• Content • Dashboards • Scalability• Sites • Scorecards • Time to market• Communities • OLAP • DAC support• Composites • DW • Tenancy• Insights • Integration • Integration• Search • MDM / DQS • Reporting• Security • Security • Security 8
  9. 9. Base Assumption #1• A major issue is access to relevant and reliable data.Source: Information Week Reports, 2011
  10. 10. Base Assumption #2• Data Quality issues affect BI adoption.Source: Information Week Reports, 2011
  11. 11. Base Assumption #3• Data Quality issues drive interest in MDM.Source: Information Week Reports, 2011
  12. 12. Gartner EIM Definition• Enterprise Information Management (EIM) is an integrative discipline for structuring, describing and governing information assets regardless of organizational and technological boundaries to improve operational efficiency, promote transparency and enable business insight. - From Gartner Group, BI Summit 2007
  13. 13. What does it mean?“Really long definition… “• EIM maturity model?  Ignore it for now… • Master data stewards?  Ignore that for now… • Master Blaster?  Wrong movie…• Definition implies an EIM program (with technologies) is needed…
  14. 14. EIM Definition revisited
  15. 15. EIM Service Layers• Collaboration Share/Search KM• Delivery Traditional BI SSBI• IQ Governance Data Quality Master Data• Analytic OLAP Predictive• Integration ETL CEP SOA• Storage OLTP DW OLAP Note – there is no implication of ‘service layer’ maturity here, however our EIM program is now more mature because we’ve defined additional layers.
  16. 16. What is DQS?• DQS is a knowledge-driven solution that provides both computer-assisted and interactive ways to manage the integrity and quality of your data.  Data Cleansing  Matching  Reference Data Services  Profiling  Monitoring  Knowledge Management (built from domains) 16
  17. 17. What is the DQS process? 17
  18. 18. What are the DQS components? Server ClientNote – If you have SharePoint, you have SQL Server. If it’s SQL 2012,you have DQS. 18
  19. 19. What does DQS look like? 19
  20. 20. DQS – Main Page 20
  21. 21. DQS – Domain Management 21
  22. 22. DQS – Domain Management 22
  23. 23. DQS - Profiling 23
  24. 24. DQS - Quality 24
  25. 25. DQS - Administration 25
  26. 26. DQS - Integration 26
  27. 27. DQS - Integration 27
  28. 28. DQS Architecture 28
  29. 29. What is MDS?• MDS is a service that allows an organization to consistently define and manage their master data. (i.e. non-transactional)  Build the model  Models, Entities, Attributes (base components)  Hierarchies, Attribute Groups, Collections (complex components)  Enhance the model  Business rules, Approval Workflows  Map data to the model  Maintain the model  Expose data from the model 29
  30. 30. What is the MDS process? 30
  31. 31. What are the MDS components? Server ClientsNote – If you have SharePoint, you have SQL Server. If it’s SQL 2012,you have MDS. 31
  32. 32. What does MDS look like?Demo Time! 32
  33. 33. MDS – Explore model 33
  34. 34. MDS – Attribute Groups 34
  35. 35. MDS – Hierarchies 35
  36. 36. MDS – Collections 36
  37. 37. MDS – Build model 37
  38. 38. MDS – Business Rules 38
  39. 39. MDS – Business Rules 39
  40. 40. MDS – Integration 40
  41. 41. MDS – Views 41
  42. 42. MDS – Views 42
  43. 43. MDS Architecture 43
  44. 44. What did we just see? Introduced a simpler definition of EIM • i.e. “A set of functions we should be good at.” Described ‘major’ service layers of EIM Filled the last major technology gap to EIM implementation • “Information Quality Governance” Increased visibility into data issues (increase quality) Empowered the business (increase adoption) 44
  45. 45. New Features that Contribute to BI Solutions 45
  46. 46. Thank You! Contact: Duane Schafer 314.971.4663Duane.Schafer@perficient.com 46

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