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Unlocking the Value of Data: A Proven Approach to Smarter Business Outcomes

Learn how to leverage data as an enterprise asset and drive efficiency, insight, and innovation with IBM's proven approach to data governance and information management.

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Unlocking the Value of Data: A Proven Approach to Smarter Business Outcomes

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  1. IBM Information Agenda Title text Franko Buneta INFuture 2009 November04, 2009

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

  3. + + = An opportunity tothink and act in new ways - economically, socially and technically. 3

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

  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. + + + = 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. IBM Lessons Learned The five components of Enterprise Data Governance are: • Metadata • Data Standards / Enterprise Data Dictionary • Data Quality • Enterprise Data Model • Data Stewardship Organizational Models

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

  9. The Difficulty Implementing Data Governance Programs “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: • Silver Bullet Syndrome • Ivory Tower Syndrome • Culture Shock: Lack of Change Management

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

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

  12. IBM History of Information Management Acquisitions

  13. Information Maturity Assessment • 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? …to what degree do you have a “unified” strategy for managing information? • What types of analytical capabilities are important to you and your users?

  14. Proven Approach Smarter Business OutcomesInformation Agenda Strategy Roadmaps Across 17 Industries Industry Guides • Identify the key business challengesfor focus • Establish the technology requirements • Identify and prioritize projects • Provide industry specific implementation roadmaps • Harness experience from thousands of customer deployments Example

  15. Proven Approach Information Agenda RoadmapsIndustry Guides * IBM Information Agenda Guide for Government

  16. IBM Unified Information Management “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 Business Optimization Common infrastructure for enterprise-wide business optimization

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

  18. Thanks for your time! 18

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