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Library Analytics

Published on Mar 28, 2016

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PRESENTATION OUTLINE

Library Analytics

By Patrick Parisi

The Challenge:

To use data to better implement library services
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Analyze All Data

  • Analytic database (Data Mart - Agile)
  • Business intelligence (BI) reporting
  • Optimized for a library environment
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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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Functionality

  • Recognize trends in circulation
  • Determine most popular services
  • Predict staffing needs
  • Additional customizable metrics
  • Track librarian interactions

Reporting

  • Customizable visualizations
  • Easy to understand representations
  • Varying specificity
  • Built in or custom queries

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

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

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)

Conclusion

  • Analytics database for libraries
  • Track interactions and circulation
  • Data used for better decision making
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References: