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BI is dood. Lang leve BI!

BI is dood. Lang leve BI!. December 2008, NGI Kring Den Haag Erik-Jan van der Linden, ej @ magnaview.com. The role of data. Amount of data grows exponentially . Putting data to good use is essential To stay ahead of competitors (profit sector);

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BI is dood. Lang leve BI!

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  1. BI is dood. Lang leve BI! December 2008, NGI Kring Den Haag Erik-Jan van der Linden, ej@magnaview.com

  2. The role of data Amount of data grows exponentially. Putting data to good use is essential • To stay ahead of competitors (profit sector); • To provide services at level requested by public/govern (non-profit). Proper use of data • Helps find answers to strategic changes.

  3. Current situation w.r.t. use of data Huge investments in • data warehousing, • business intelligence, • corporate performance management, • management reporting; • in tools, hardware, training…. But where’s the impact…?

  4. Issues w.r.t. use of data

  5. Example • Demographic developments (Europe is aging) • Analyze the age of personnel • Four organizations • P.S. test it yourself: take 10 seconds… • Which organization has to take action w.r.t. demographic developments? Should I take action?

  6. Should I take action?

  7. Now take 10 seconds for the visualized version

  8. We should!

  9. Approach Interactieve, visuele analyse en presentatie. in-memory, van grote datasets. Fast loading Strong compression 1.000.000+ records 100+ attributes

  10. Case: profitability in legal firms (i)

  11. Case: profitability in legal firms (ii)

  12. Case: hospital • Emerging market for health care services; • Datawarehouse plus BI-solution available; • Project for definition of performance indicators; • Analysis of five programs; presentation to medical and administrative staff.

  13. Case: hospital

  14. Case: RFID (i)

  15. Case: RFID (ii)

  16. Case: Social Knowledge

  17. BI is dead …?

  18. BI is dead! • Anchor concepts in the perceived environment of the user; • Raw data – variation; • Users in control instead of IT; • BI not an end-point.

  19. But not for professionals

  20. Notattractivefor professionalsNo interaction

  21. b. Raw data in-memory  less sensitive to noise Analysiswithnoisy data mayreveal… … need to improve data… … whilestillshowingvaluable business conclusions. Lessdebateabout data.

  22. c. Users in control IT In BI, IT determines availability of data. Limited user interaction.

  23. Increase availability of data; increase interaction IT

  24. d. BI is an end-point: instances are filtered in data warehouse.

  25. MagnaView allowsany link to anyotherinformation system

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