Business Intelligence Brian Cox Margie Jantti. Quick historical context Client Satisfaction measures.

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Presentation transcript:

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

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