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When Worlds Collide: Intelligence, Analytics and Operations
 

When Worlds Collide: Intelligence, Analytics and Operations

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The Briefing Room with Shawn Rogers and Composite Software ...

The Briefing Room with Shawn Rogers and Composite Software
Slides from the Live Webcast on May 15, 2012

Everyone wants more data these days, though often for different reasons. Business analysts, data scientists and front-line workers all know the value of having that extra piece of information. The big question remains -- how can all these needs be supported without taxing IT and without breaking the bank? And how can the worlds of traditional Business Intelligence, Big Data Analytics and Transaction Systems combine to improve business outcomes?

In this episode of The Briefing Room, veteran Analyst Shawn Rogers of Enterprise Management Associates explains what is needed to take advantage from today's hybrid data ecosystem. He'll be briefed by Bob Eve of Composite Software who will explain how innovative enterprises are using data virtualization to gain insight across these worlds and doing so with greater agility and lower costs.

For more information visit: http://www.insideanalysis.com

Watch us on YouTube: http://www.youtube.com/playlist?list=PL5EE76E2EEEC8CF9E

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    When Worlds Collide: Intelligence, Analytics and Operations When Worlds Collide: Intelligence, Analytics and Operations Presentation Transcript

    • Tuesday, May 15, 12
    • Eric.kavanagh@bloorgroup.com Twitter Tag: #briefrTuesday, May 15, 12
    • Reveal the essential characteristics of enterprise software, good and bad Provide a forum for detailed analysis of today’s innovative technologies Give vendors a chance to explain their product to savvy analysts Allow audience members to pose serious questions... and get answers! Twitter Tag: #briefrTuesday, May 15, 12
    • May: Analytics June: Intelligence July: Governance August: Analytics September: Integration October: Database Twitter Tag: #briefrTuesday, May 15, 12
    • Ultimately analytics is about businesses making optimal decisions, although the range of technologies that inhabit this area is wide: statistical analysis, data mining, process mining, predictive analytics, predictive modeling, business process modeling and additionally complex event processing. With the advent of big data, analytics has become “big analytics” with organizations diving into large heaps of data that previously was not available or usable. Part of the challenge is to be able to manage the data flow so that power users and analytics users have the data they need in the right place at the right time. Twitter Tag: #briefrTuesday, May 15, 12
    • Shawn Rogers is Vice President Research for Business Intelligence at Enterprise Management Associates a leading analyst and consulting firm.   Shawn is an international speaker and has more than 19 years of hands-on IT experience. Prior to joining EMA he co-founded the BeyeNETWORK, a global online publication covering business intelligence, data warehousing, performance management and data integration. He was also a partner at DMReview magazine (now Information Management) and has held various executive level positions with technology companies. Twitter Tag: #briefrTuesday, May 15, 12
    • Enterprise class data integration platform Innovative data virtualization solution to the data integration problem High performance Agile relatively low cost solution Rapid development with quick iterations Twitter Tag: #briefrTuesday, May 15, 12
    • Bob Eve has been Composite Softwares EVP of Marketing since 2006. While at Composite, Bob helped define the Data Virtualization category and position Composite as the gold standard in that market. Prior to Composite, Bob held executive level marketing and business development roles at leading enterprise software companies such as Informatica, Mercury Interactive, PeopleSoft, and Oracle. Bob holds a MS degree in Management from the Massachusetts Institute of Technology and a BS degree in Business Administration from the University of California at Berkeley. Twitter Tag: #briefrTuesday, May 15, 12
    • When Worlds Collide: Intelligence, Analytics & Operations The Briefing Room with Shawn Rogers and Composite SoftwareRobert EveEVP Marketingreve@compositesw.com
    • Agenda Why big data analytics, mobility and cloud computing are breaking traditional data integration paradigms How data virtualization increases business and IT agility Proven paths to data virtualization success2 © 2012 Composite Software, Inc. / Composite Proprietary
    • Business and Technology Drivers – Big Data Analytics, Mobility & Cloud IBM Global CIO Survey 20113 © 2012 Composite Software, Inc. / Composite Proprietary
    • Data Warehouses Met Traditional Integration Needs One place to go Business view of the data Agility Meter Data Warehouses and Marts4 © 2012 Composite Software, Inc. / Composite Proprietary
    • But Business Required Operational Data As Well Up-to-the-minute data from transactional sources is also required Agility Meter New integration techniques are needed…ODS,  CDC,   Data  Federation…   Transactional & Data Warehouses Enterprise Operational Stores and Marts Applications5 © 2012 Composite Software, Inc. / Composite Proprietary
    • Organizations Then Adopted New Information Management Technologies To Address New Business Needs The rise of fit-for- purpose analytic data stores creates more Agility Meter data silos The emergence of cloud-resident applications introduces new integration challenges Analytic Stores Transactional & Data Warehouses Enterprise SaaS and Sandboxes Operational Stores and Marts Applications Applications6 © 2012 Composite Software, Inc. / Composite Proprietary
    • While New IT Paradigms Arose Creating Even More Complex Integration Landscapes Web services require new data integration protocols and techniques Agility Meter Big Data analytic processing and storage reset tooling and integration paradigms Analytic Stores Transactional & Data Warehouses Enterprise SaaS “Big”  Data Web Services and Sandboxes Operational Stores and Marts Applications Applications and NoSQL7 © 2012 Composite Software, Inc. / Composite Proprietary
    • And BYOD Became the New Normal Mobile devices diversify consumers and Agility Meter add network latency challenges Analytic Stores Transactional & Data Warehouses Enterprise SaaS “Big”  Data Web Services and Sandboxes Operational Stores and Marts Applications Applications and NoSQL8 © 2012 Composite Software, Inc. / Composite Proprietary
    • Data Virtualization Hides Complexity to Provide Business Insight with Agility One  “virtual”   place to go Business  “view”   Agility Meter of the data Data Virtualization Platform Abstract Federate Optimize Analytic Stores Transactional & Data Warehouses Enterprise SaaS “Big”  Data Web Services and Sandboxes Operational Stores and Marts Applications Applications and NoSQL9 © 2012 Composite Software, Inc. / Composite Proprietary
    • Agenda Why big data analytics, mobility and cloud computing are breaking traditional data integration paradigms How data virtualization increases business and IT agility Proven paths to data virtualization success10 © 2012 Composite Software, Inc. / Composite Proprietary
    • Enterprise-Scale Data Virtualization Platform Customer Governance, Business Human Capital Mergers & Single View of Supply Chain SAP Data Experience Risk & Intelligence Management Acquisitions Enterprise Data Management Integration Management Compliance Composite 6 Data Virtualization Platform Development Runtime Server Management Environment Environment Environment Discovery Manager Studio Composite Information Server Monitor PerformancePlus Active Cluster Adapters XML Packaged Apps RDBMS Excel Files Data Warehouse OLAP Cubes Hadoop  /  “Big  Data” XML Docs Flat Files Web Services11 © 2012 Composite Software, Inc. / Composite Proprietary
    • One  “Virtual”  Place  Go12 © 2012 Composite Software, Inc. / Composite Proprietary
    • Business  “View”  of  the  Data Source:  Forrester  June  15,  2011,  “Data  Virtualization  Reaches  Critical  Mass”  Forrester  report13 © 2012 Composite Software, Inc. / Composite Proprietary
    • Agenda Why big data analytics, mobility and cloud computing are breaking traditional data integration paradigms How data virtualization increases business and IT agility Proven paths to data virtualization success14 © 2012 Composite Software, Inc. / Composite Proprietary
    • Use A Proven Data Virtualization Vendor Ten of the Top Twenty Global Money Center Banks Major Communications and Technology Vendors Six of the Top Ten Pharmaceutical Companies Government  Agencies  including  the  World’s  Largest   IT Organization, the U.S. Army Four of the Top Five Integrated Energy Companies Composite Data Virtualization Financial Federal Media / Life Sciences High Tech Energy Services Government Comm.15 © 2012 Composite Software, Inc. / Composite Proprietary
    • Seek Out The Data Virtualization Domain Experts Company Domain Deployment Comcast Directory Ownership change Services processing Compassion Enterprise wide Ministry Information International Library Fortune 50 Procurement Integrated procurement Computer reporting system Manufacturer Fortune 50 Financial Wholesale Bank Support for mergers and Services Firm acquisitions, new business opportunities Global 100 Energy Upstream Virtual data warehouse to Company Operations support BI reporting and analytics Global 100 Financial Investment Bank Data Vault Services Firm Division Northern Trust Corporate and Investment Operations Institutional Outsourcing client Services reporting platform Business Unit NYSE Euronext Enterprise wide Virtual data warehouse for post-trade reporting and analysis Pfizer Worldwide Project portfolio database Pharmaceutical Sciences (R&D) Qualcomm Enterprise wide Multiple applications16 © 2012 Composite Software, Inc. / Composite Proprietary
    • Self Fund Your Investment Massive transaction volumes $4.5 million saved on first project $2.2 million saved on first five projects 24 projects in 2 years Zero downtime customer care apps $ thousands per day in cost savings17 © 2012 Composite Software, Inc. / Composite Proprietary
    • For More Information www.compositesw.com www.datavirtualizationcafe.com18 © 2012 Composite Software, Inc. / Composite Proprietary
    • Twitter Tag: #briefrTuesday, May 15, 12
    • When Worlds Collide: Intelligence, Analytics and Operations Shawn P. Rogers Enterprise Management Associates Vice President Research Business Intelligence / Data Warehousing srogers@enterprisemanagement.com May 15, 2012 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • The Drivers of Change • Maturing User Community • Workloads and Demands – Reporting to Advanced Analytics • Consumer shift, democratization and self service • New Technology • Introduction of new technologies • More powerful technology • Economics • Enterprise level commodity hardware • Open Source frameworks • Business Intelligence is recession resistant and proven • Valuable Data Types • Move from Structured SQL driven analysis - new alternatives • Sophisticated analysis of new data – Sensor, Machine, Social 11 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Drivers of Change • The EDW Under Pressure • A critical component of success • Difficulty answering the demands of change  Users, technology, economics and new data • Analytics beyond the data warehouse 12 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Drivers of Change • The EDW Under Pressure • A critical component of success • Difficulty answering the demands of change  Users, technology, economics and new data • Analytics beyond the data warehouse Time to live in the now….not the was. 12 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem • Extension of Traditional Data Environments • Workload Management  Matching data and complex workloads to the best possible platforms  Flexible, powerful and economically sound. • Platforms  Computing Platforms  Enterprise Data Warehouse  Data Marts  Operational Systems  Analytic Platforms  Big Data (Hadoop, Key/Value, Graph data stores)  Cloud-based Solutions 13 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem  Delivery Platforms  Desktop  Internet/Web  Mobile  Collaborative Solutions • Data Integration Tier  Innovation and agility abound  Makes the case for enterprise wide implementations  You can’t always move the data – Cloud and Big Data especially • Data Management Tier  Weakness across ecosystem  Opportunity for innovation  Runs in the face of big stack vendors  Beware of silo’s 14 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem - Platforms Enterprise Data Warehouse (RDBMS) 15 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem - Platforms Enterprise Data Warehouse (RDBMS) Data Marts 15 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem - Platforms Operational Data Enterprise Data Warehouse (RDBMS) Data Marts 15 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem - Platforms Big Data Operational Data Frameworks Enterprise Data Warehouse (RDBMS) Data Marts 15 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem - Platforms Big Data Operational Data Frameworks Enterprise Data Warehouse (RDBMS) Data Marts Analytic Platforms 15 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem - Platforms Big Data Operational Data Frameworks Enterprise Data Warehouse (RDBMS) Cloud Data Data Marts Analytic Platforms 15 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Hybrid Data Ecosystem - Platforms Big Data Operational Data Frameworks Enterprise Data 010 Warehouse 0 101 (RDBMS) 1 01 010 10 010 101 10 101 010 0 10 01 0 010 101 1 01 10 1 101 010 0 10 10 010 101 01 0 10 101 010 1 01 1 01 010 101 01 0 10 0 10 101 01 01 010 1 01 01 01 0101010101010101 0101001010101010 101 10 1 0 0 10 0 10 01 01010101010 01010010101 1 0 10 01 010 01 01 101 101 010 010 010 101 101 10 101 010 010 010 010 101 0 101 101 101 010 0 101 01 010 010 101 010 101 101 101 101 0 010 010 0 101 101 101 01 0 010 10 101 101 010 0 010 101 01 010 1 01 010 101 0 10 101 010 1 01 10 1 010 101 10 01 0 101 010 10 1 010 101 0 10 0 10 101 010 1 01 1 01 1 10 10 010 101 Cloud Data 01 01 0 01 01 0 010 01 10 1 0 10 01 01 Data Marts Analytic Platforms 15 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Tuesday, May 15, 12
    • Managing Hybrid Data Ecosystems for Performance • A balanced attack - use all of the tools at your disposal • Understand the workload complexity and plan accordingly • Utilize the best data sources combined with best platform • Only move the data when necessary  Accept that some data is better off not moved  Economics of moving data – push down queries • Create value by combining data from where ever necessary 17 © 2012 Enterprise Management Associates, Inc.Tuesday, May 15, 12
    • Agility is often discussed with DV. Explain where that comes in and how it makes an organization more agile? How do you see DV enabling companies that are embracing a Hybrid Data Ecosystem? Why is data integration part of this paradigm shift? Is DV technology fast enough to keep pace with the sophisticated needs of these maturing analytics users? How do address highly distributed data especially when it’s geographically remote and has inherent latency? What’s changed in DV technology since the 90’s when similar technology was labeled virtual DW’s, Federation and EII in the 2000’s and failed to get traction with DW purists? Should companies could/should attempt to implement DV company wide or are point solutions the best way to go? Twitter Tag: #briefrTuesday, May 15, 12
    • When is DV not a good answer to data integration challenges? Where does Data Quality fit into DV? Does Composite offer DQ features? Is it required? Big Data has everyone’s attention is it really a significant opportunity? Is it for Hadoop only? How does Composite go beyond simple Hadoop connectors to assist companies with Big Data? How do you work with Analytic Platforms to go beyond simple integration? What’s next for DV? Are their other connection/integration points working their way into the data ecosystem? Can DV really support the needs of self-service analytic users or power users? Twitter Tag: #briefrTuesday, May 15, 12
    • Tuesday, May 15, 12
    • May: Analytics June: Intelligence July: Governance August: Analytics September: Integration October: Database Twitter Tag: #briefrTuesday, May 15, 12
    • Tuesday, May 15, 12