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Library Analytics
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Published on Mar 28, 2016
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PRESENTATION OUTLINE
1.
Library Analytics
By Patrick Parisi
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My name's axel
2.
The Challenge:
To use data to better implement library services
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Éole
3.
Analyze All Data
Analytic database (Data Mart - Agile)
Business intelligence (BI) reporting
Optimized for a library environment
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Eneas
4.
Why Agile Data Mart?
Relatively low cost
Easy setup & maintenance
Advantageous for customer-centric data
Optimimal for a single subject
Powerful even with only a few analysts
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Sifter
5.
Functionality
Recognize trends in circulation
Determine most popular services
Predict staffing needs
Additional customizable metrics
Track librarian interactions
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Sinclair Library
6.
Reporting
Customizable visualizations
Easy to understand representations
Varying specificity
Built in or custom queries
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summonedbyfells
7.
What Can We Do With The Data?
Add titles based on trends
Anticipate circulation shortages
Adequately staff key positions
Expand popular programs
Better stock most loaned items
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sebastien.barre
8.
What Can We Do With The Data?
Better understand patrons' needs
Identify common questions in advance
Specificity for better budgeting
Connect patrons with similar interests
Photo by
Melissa Maples
9.
How To Implement
Smallish database can be hosted locally
Supported by in-house IT
Dedicated team of Business Analysts
Card readers at librarians' desks for tracking
Little buy-in required (mostly back-end)
Photo by
Eduardo Loureiro
10.
Conclusion
Analytics database for libraries
Track interactions and circulation
Data used for better decision making
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Alan Cleaver
11.
References:
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broken thoughts
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