Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
IBM Information Agenda Title text Franko Buneta INFuture 2009 November 04, 2009 © 2009 IBM Corporation Our world is becoming INSTRUMENTED Our world is becoming INTERCONNECTED Virtually all things, processes and ways of working are becoming INTELLIGENT © 2009 IBM Corporation 2 © 2009 IBM Corporation 2 + + = An opportunity to think and act in new ways economically, socially and technically. © 2009 IBM Corporation 3 © 2009 IBM Corporation 3 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 © 2009 IBM Corporation © 2009 IBM Corporation Smart Work 4 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 © 2009 IBM Corporation components versus build it yourself, most firms now consider their buy alternatives as advantageous. © 2009 IBM Corporation 5 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.” + + + = © 2009 IBM Corporation © 2009 IBM Corporation 6 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 © 2009 IBM Corporation © 2009 IBM Corporation 7 Data Governance Proven Approach Common 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 Requirements for Success • Helps organizations recognize, design and manage activities • Appropriately protects and maximizes the inherent value of data assets Data Stewardship Organization Business Processes Cost Savings Data Management Organization Benefits Information Technology Processes 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 © 2009 IBM Corporation © 2009 IBM Corporation 8 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 © 2009 IBM Corporation © 2009 IBM Corporation 9 Bridging the Gap Becoming an Information Based Enterprise Business Value Unlock the business value of information … Optimized Business Performance Real-Time Single View of the Truth Information in Context Basic Information Interaction Data Processing and Analysis Information to Enable Innovation Information Based Enterprise …an enterprise with an Information agenda Data to Run the Business © 2009 IBM Corporation © 2009 IBM Corporation Information Management Flexible Information Architecture Information as a Strategic Asset Maturity of Information Use 10 Information Agenda A Proven Approach to Smarter Business Outcomes Proven Approach Establish end-to-end vision & business-driven value Align people, process & information Discover & design trusted information with unified tools and expertise to sustain competitive advantage over time… Establish an informationdriven strategy & objectives to enable business priorities… Accelerate projects for short & long-term ROI Accelerate informationintensive projects aligned with the strategy to speed both short-term & long-term return on investments… Architect an extensible information infrastructure © 2009 IBM Corporation Deploy open and agile technology and leverage existing information assets for speed and flexibility… © 2009 IBM Corporation 11 IBM History of Information Management Acquisitions Date Company IBM Product Name (Old) IBM Product Name (New) Technology Description July 2001 Informix Informix Dymanic Server IBM 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 2004 AlphaBlox DB2 AlphaBlox (Part of InfoSphere Warehouse) Data analysis and visualization software January 2005 Systems Research & Development Entity Analytic Solutions (SRD) IBM Entity Analytic Solutions - IBM Identity Resolution - IBM Relationship Resolution - IBM Anonymous Resolution Identity resolution software 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 March 2005 Ascential IBM Information Server - Webphere DataStage - WebSphere Quality Stage - WebSphere Information Analyzer - WebSphere Business Glossary - WebSphere Information Services Director - WebSphere Federation Server August 2005 DWL WebSphere Customer Center InfoSphere MDM Server Customer data integration software November 2005 iPhrase Technologies WebSphere Information Integrator OmniFind IBM OmniFind Context-aware search and content management software March 2005 Language Analysis Systems IBM Global Name Recognition InfoSphere Global Name Recognition Multicultural name-recognition and analysis software October 2006 FileNet FileNet P8 IBM FileNet P8 Enterprise content management and business process management solutions September 2007 DataMirror DataMirror Transformation Server InfoSphere Change Data Capture Identification and capture of changed data to ensure use of trusted, accurate data September 2007 Princeton Softech Optim IBM Optim Data archiving, test data management, data privacy and data classification software January 2008 Cognos Cognos IBM Cognos Business intelligence and performance management software January 2008 Solid Information Technology solidDB IBM solidDB In-memory database software for real-time information access © 2009 IBM Corporation © 2009 IBM Corporation 12 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? • What types of analytical capabilities are important to you and your users? …to what degree do you have a “unified” strategy for managing information? © 2009 IBM Corporation © 2009 IBM Corporation 13 Smarter Business Outcomes Information Agenda Strategy Roadmaps Proven Approach Across 17 Industries Industry Guides 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 © 2009 IBM Corporation © 2009 IBM Corporation 14 Information Agenda Roadmaps Industry Guides Proven Approach 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 © 2009 IBM Corporation * IBM Information Agenda Guide for Government © 2009 IBM Corporation 15 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” Business Optimization Ovum Technologies, August 2008 © 2009 IBM Corporation © 2009 IBM Corporation Common infrastructure for enterprise-wide business optimization 16 Smart Analytics System IBM Smart Analytics System Installed & Configured Business Intelligence Capabilities Professional Reports Interactive Analysis Entitled 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 Data Mining Smart Analytics System Cubing Services Module Text Analytics Cubing Services Smart Analytics System Foundation Workload Management © 2009 IBM Corporation © 2009 IBM Corporation Tivoli System Automation InfoSphere Warehouse 17 Thanks for your time! © 2009 IBM Corporation © 18 2009 IBM Corporation 18