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Business Intelligence

Business Intelligence. Brian Cox Margie Jantti. Quick historical context. Client Satisfaction measures. Quick historical context. What is the Library cube?. Library value cube Marketing cube Process improvement cube. Data sources for cube. Student data – already in cube

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Business Intelligence

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  1. Business Intelligence Brian Cox Margie Jantti

  2. Quick historical context Client Satisfaction measures

  3. Quick historical context

  4. What is the Library cube? • Library value cube • Marketing cube • Process improvement cube

  5. Data sources for cube Student data – already in cube Loans – snapshot run every week Database usage – ezyproxy logs

  6. Ezproxy logs

  7. Ezproxy logs • The day is divided into 144 ten minute periods • If a user has an entry on the log within that 10 minute period, then they are given a count of 1/6 (as we are measuring hourly sessions). • Any further log entries during that 10 minute interval are not counted

  8. Stating the obvious • Usage activity ≠ learning • Many contributing factors: • Teaching quality • Gender • Age • Language • Class • Attitude • Intelligence • Etc • Etc

  9. Value of the Library

  10. But…

  11. Impact

  12. Impact

  13. Validity • Data is a census not a sample • Low variability over time • VERY strong correlation • Large shifts in marks with usage • Strong depth of relationship

  14. Impact

  15. Impact

  16. Marketing • Increasing traction • Improving usage

  17. Gaining traction

  18. Gaining traction and users • Books • Gender and origin • Faculties • 1st year • Undergrads and post grads • Age

  19. Final words

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