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Theme. “Information about transactions will become more important than the transactions themselves.”. Walter Wriston, chair and CEO of Citicorp/Citibank, 1967-1984. Agenda. Reemerging significance of BI BI market definition Trends Best practices Recommendations.

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  1. Theme “Information about transactions will become more important than the transactions themselves.” Walter Wriston, chair and CEO of Citicorp/Citibank, 1967-1984

  2. Agenda • Reemerging significance of BI • BI market definition • Trends • Best practices • Recommendations

  3. Enterprises are feeling the pain It is becoming increasingly difficult for enterprises to compete. Only change is constant. • Productivity gains and efficiencies were enough yesterday, but today and tomorrow businesses need to reemphasize effectiveness to win market shares and grow.

  4. … and need to be optimized to compete Enterprise Optimization Agility Dynamic Apps = Effectiveness BI = Efficiency BPM/BRE =

  5. Top companies competing on analytics

  6. Robust BI environments are needed to turn mountains of data into information The globe’s information production in 2003 was 5 exabytes. 5,000,000,000,000,000,000 — 18 zeros Equivalent in size to the information contained in 37,000 new libraries, each as big as the US Library of Congress book collection 92% of new information is stored on magnetic media, primarily hard disks Almost a gigabyte per every person on Earth This figure is growing at 30% a year, so we’ll be reaching zetabyte sizes by year 2010 — that’s a number with 21 zeros! Source: University of California, Berkeley

  7. … and that’s why I&KM Initiatives are hot Source: January 25, 2008, “The State Of Enterprise Software Adoption: 2007 To 2008” report

  8. IT budget-setters are investing in BI Source: March 27, 2008, “The State Of Enterprise IT Budgets: 2008” report

  9. … but BI stack is complex and heterogeneous Business intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insight and decision-making.

  10. . . . and it’s only one of the components in IW

  11. BI “Ecosystem” – over 350 players!

  12. BI is evolving fast and across many dimensions

  13. BI is evolving fast and across many dimensions

  14. Columnar More agile Less space Faster queries In Memory Lightning fast No OLAP limitations Index More agile Seamless structured and unstructured BI Col 1 Col 2 Col 3 Row 1 Row 2 Row 3 Col 1 Col 2 Col 3 Row 1 Row 2 Row 3 Other trends: alternative BI DBMS

  15. Other trends: alternative analytical methods Visual pattern recognition Most traditional OLAP methods fail when number of dimensions exceeds a few dozen. Best at analyzing “broad” data sets with 100+ dimensions Today: life sciences, energy/mining Tomorrow: financial services

  16. Other trends: spreadsheets and BI • Spreadsheets — the most widely used business intelligence (BI) tool — play an integral role in all layers of the BI stack. • Lack of controls, security, and integrity, as well as integration with business processes create tremendous challenges — and opportunities • “Getting rid of spreadsheets” battle was fought and lost. • With proper governance, methodology and latest tools, one can continue to reap the benefits of spreadsheet applications while getting arms around control and risk issues.

  17. More Trends: Continued Innovation • BI market is consolidating but not commoditizing. • Consolidation • Large vendors increasingly have to balance integration vs. innovation priorities. • Innovation – still plenty of room • Data discovery • Guided analytics /search • Consumerization of enterprise technology or “Tech Populism” • Knowledge Shadows / Blind Spots

  18. Unfortunately there are still many inhibitors to successful BI implementations

  19. So what do we do? Best practices / strategy to the rescue Current State Assessment Road Map Gap Analysis Prioritization Target State Vision • Architecture / technology • Governance • Change management • Human resources • Risk management • Requirements

  20. Best practices – do’s and don’t’s Data Governance Technical Architecture Data Architecture Technical Architecture Data Governance Data Architecture

  21. Best practices

  22. Best practices continued

  23. Final thoughts • Three top keys to successful BI implementations are: data governance, data governance, and data governance. • Ensure that the BI foundation is comprehensive and supportive of future trends. • Understand that BI for multi-terabyte data sets may require different architectures and technologies. • Research and implement the most appropriate VLDB/BI options. • Plan for explosive data growth: 10x-100x. • Have a strategy / approach for handling lightweight BI applications: Excel, Microsoft Access

  24. Thank you Boris Evelson +1 617/613-6297 bevelson@forrester.com www.forrester.com

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