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. 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

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

10. Value of the Library

11. But…

12. Impact

14. 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

15. Impact

17. Marketing Increasing traction Improving usage

18. Gaining traction

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

20. Final words