tipping point the how granular statistics can make a big difference in understanding and...
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Phase I – in brief Aim What is the [quantitative] value to the student when they use library resources?TRANSCRIPT
TIPPING PO
INT
TheHow
GRANULARStatistics Can Make
a BIG Difference in Understanding and Demonstrating VALUE
MargieJantti
Alison Pepper
If Content is King, CONTEXT is Queen
Furbank, 2014
Phase I – in brief
Aim
What is the [quantitative] value to the student when they use library resources?
Student No.
Data sources and identifiers
LMS, Access log
SESSIONAL
Value Cube
Correlation between electronic resource usage and student grades – 2013
Phase I – Value Cube
Key Finding
A strong positive correlation between student grades and use of library resources
Phase II – Marketing Cube
1. Developing a picture of use
2. Return on investment (ROI)
3. Existing cube architecture
Drivers:
Phase II drivers ... new insight
1. Developing a picture of use
What eresources are clients using?
Beyond vendor supplied use data
Phase II drivers ... new insight
1. Developing a picture of use
Who is using them?
When in a semester?
Why?
Phase II drivers
2. Collection Development: ROI
Resources = 40% of budget
90:10 electronic vs print
Value for money
3. Leveraging cube architecture
Phase II drivers
Marketing Cube
Student No.Access log / Ezproxy
WEEKLY
Data sources and identifiers
Interface and navigation
Dimensions
and
Measures
Drag & drop to create Views
Have we influenced behaviour?
• Low Use
Before
• Marketing
Intervention• Increased
Use?
After
Examining use in 2015>
Powerful lens on contextualised collection use
A new measurement methodology with weekly frequency
Potential to triangulate with other institutional data
The Tipping Point
Never before has the potential existed to draw on data from both the library’s and enterprise systems to develop a more sustained and intimate understanding of our user communities.