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 Loans – snapshot run every week Database usage – ezyproxy logs
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
Stating the obvious Usage activity ≠ learning Many contributing factors: –Teaching quality –Gender –Age –Language –Class –Attitude –Intelligence –Etc
Value of the Library
But…
Impact
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
Impact
Marketing Increasing traction Improving usage
Gaining traction
Gaining traction and users Books Gender and origin Faculties 1 st year Undergrads and post grads Age
Final words