1. © 2009 IBM Corporation Franko Buneta INFuture 2009 November 04, 2009 IBM Information Agenda Title text

2. © 2009 IBM Corporation 2 Our world is becoming INSTRUMENTED Our world is becoming INTERCONNECTED Virtually all things, processes and ways of working are becoming INTELLIGENT 2

3. © 2009 IBM Corporation 3 + + = An opportunity to think and act in new ways - economically, socially and technically. 3

4. © 2009 IBM Corporation 4 “Data is exploding and it’s in silos” I need Insight “New business & process demands” I need to work smart “Our resources are limited” I need efficiency “My infrastructure is inflexible and costly” I need to respond quickly New Intelligence Green & Beyond Smart Work Dynamic Infrastructure IBM's Four Key Initiatives

5. © 2009 IBM Corporation 5 Some issues we’ve brought on ourselves. Issues created by internal causes: ●Reversing Sub-Optimization – for years, we’ve developed BI environments “in spite of” underperforming tools. ●Managing “Chartjunk” – Experience should have taught us by now that needless data absolutely diminishes the value of BI analytics. ●Redefining ODS – We need to view our operational data stores as a strategic asset rather than passive storage of historical data ●Buy vs. Build – Despite a lot of historical resistance to buy components versus build it yourself, most firms now consider their buy alternatives as advantageous.

6. © 2009 IBM Corporation 6 What is Data Governance? “Data Governance is the orchestration of people, process, and technology to enable an organization to leverage data as an enterprise asset.” +++=

7. © 2009 IBM Corporation 7 IBM Lessons Learned The five components of Enterprise Data Governance are: 1.Metadata 2.Data Standards / Enterprise Data Dictionary 3.Data Quality 4.Enterprise Data Model 5.Data Stewardship Organizational Models

8. © 2009 IBM Corporation 8 Data Governance is… “a process” Helps organizations recognize, design and manage activities Appropriately protects and maximizes the inherent value of data assets …Governance must span both Business and Information Technology in order to successfully manage data Active, Committed Champions Cost Savings Faster Development Time Accurate Reporting Reusable Component-driven Development Process Business Processes Information Technology Processes Data Stewardship Organization Benefits Data Management Organization Data Governance Data Governance Common Entry Point Proven Approach Requirements for Success Helps organizations recognize, design and manage activities Appropriately protects and maximizes the inherent value of data assets

9. © 2009 IBM Corporation 9 Silver Bullet Syndrome Ivory Tower Syndrome Culture Shock: Lack of Change Management “How to ensure failure in a Data Governance Program” Despite the many quantifiable benefits, as well as the mandatory regulatory reporting, many organizations have embarked upon Data Governance Programs with mixed results. Below are some of the common reasons for failure: The Difficulty Implementing Data Governance Programs

10. © 2009 IBM Corporation 10 Maturity of Information Use Bridging the Gap Becoming an Information Based Enterprise Information Management Business Value Data to Run the Business Information as a Strategic Asset Information to Enable Innovation Flexible Information Architecture Information Based Enterprise …an enterprise with an Information agenda Unlock the business value of information … Real-Time Single View of the Truth Optimized Business Performance Information in Context Basic Information Interaction Data Processing and Analysis

11. © 2009 IBM Corporation 11 A Proven Approach to Smarter Business Outcomes Information Agenda A Proven Approach to Smarter Business Outcomes Establish end-to-end vision & business-driven value Align people, process & information Accelerate projects for short & long-term ROI Architect an extensible information infrastructure Discover & design trusted information with unified tools and expertise to sustain competitive advantage over time… Accelerate information- intensive projects aligned with the strategy to speed both short-term & long-term return on investments… Establish an information- driven strategy & objectives to enable business priorities… Deploy open and agile technology and leverage existing information assets for speed and flexibility… Proven Approach

12. © 2009 IBM Corporation 12 IBM History of Information Management Acquisitions DateCompanyIBM Product Name (Old)IBM Product Name (New)Technology Description July 2001InformixInformix Dymanic ServerIBM Informix Dynamic Server (IDS)Database software for OLTP March 2004 Trigo Technologies WebSphere Product Center InfoSphere MDM Server for Product Information Management (PIM) Product Information Management software July 2004AlphaBloxDB2 AlphaBlox(Part of InfoSphere Warehouse)Data analysis and visualization software January 2005 Systems Research & Development (SRD) Entity Analytic Solutions IBM Entity Analytic Solutions - IBM Identity Resolution - IBM Relationship Resolution - IBM Anonymous Resolution Identity resolution software March 2005Ascential IBM Information Server - Webphere DataStage - WebSphere Quality Stage - WebSphere Information Analyzer - WebSphere Business Glossary - WebSphere Information Services Director - WebSphere Federation Server InfoSphere Information Server - InfoSphere DataStage - InfoSphere Quality Stage - InfoSphere Information Analyzer - InfoSphere Business Glossary - InfoSphere Information Services Director - InfoSphere Federation Server Comprehensive information integration platform to understand, cleanse, rationalize and transform information August 2005DWLWebSphere Customer CenterInfoSphere MDM ServerCustomer data integration software November 2005 iPhrase Technologies WebSphere Information Integrator OmniFindIBM OmniFind Context-aware search and content management software March 2005 Language Analysis Systems IBM Global Name RecognitionInfoSphere Global Name Recognition Multicultural name-recognition and analysis software October 2006FileNetFileNet P8IBM FileNet P8 Enterprise content management and business process management solutions September 2007DataMirrorDataMirror Transformation ServerInfoSphere Change Data Capture Identification and capture of changed data to ensure use of trusted, accurate data September 2007Princeton SoftechOptimIBM Optim Data archiving, test data management, data privacy and data classification software January 2008Cognos IBM Cognos Business intelligence and performance management software January 2008 Solid Information Technology solidDBIBM solidDB In-memory database software for real-time information access

13. © 2009 IBM Corporation 13 At what level do you currently manage and use information within your enterprise? How broadly integrated is your information? What policies & practices do you have regarding information governance? How broadly do you need to provide access to information across your organization? Can you measure data quality and determine its variability, value & costs? What types of analytical capabilities are important to you and your users? …to what degree do you have a “unified” strategy for managing information? Information Maturity Assessment

14. © 2009 IBM Corporation 14 Across 17 Industries Identify the key business challenges for focus Establish the technology requirements Identify and prioritize projects Provide industry specific implementation roadmaps Harness experience from thousands of customer deployments Industry Guides Information Agenda Strategy Roadmaps Smarter Business Outcomes Information Agenda Strategy Roadmaps Proven Approach

15. © 2009 IBM Corporation 15 * IBM Information Agenda Guide for Government Strategic Imperatives The key focus areas for a specific industry that are critical to improving overall business performance Core Management Processes The underlying processes that are prevalent across all areas of the company in every industry and must be managed for improved business performance Business Objectives The processes and activities that can be optimized through more effective use of information in support of the strategic imperatives Industry Guides Information Agenda Roadmaps Industry Guides Proven Approach

16. © 2009 IBM Corporation 16 “IBM can claim what is arguably the industry’s broadest portfolio of unified information management software, services – and industry-specific solutions” Ovum Technologies, August 2008 Common infrastructure for enterprise-wide business optimization IBM Unified Information Management Business Optimization

17. © 2009 IBM Corporation 17 Web | Office Consumer Modes Consume Reports | Ad-Hoc Query | Reporting | Analysis | Dashboards | System Administration Broad User Capabilities Framework Manager | Transformer Modeling & Management Smart Analytics System Business Intelligence Module (Cognos) Smart Analytics System Data Mining & Text Analytics ModuleSmart Analytics System Cubing Services Module Data Mining Text AnalyticsCubing Services Smart Analytics System Foundation InfoSphere Warehouse Workload Management Tivoli System Automation Professional Reports Interactive Analysis Predictive Analytics Dashboards Installed & Configured Entitled Smart Analytics System IBM Smart Analytics System Business Intelligence Capabilities

18. © 2009 IBM Corporation 18 Thanks for your time! 18