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  1. Technical (developers, dbas)
    • to predict growth, evaluate long-term resource needs; to quantify performance
  2. Communications/Marketing
    • to track adoption and articulate user interest
  3. Management
    • to determine strategy based on current usage groups; to target specific groups for adoption

Types of data analysis

We can talk about potential solutions as falling into one or the other of these two forms of data analysis:

  1. Real time event monitoring
  2. Data-mining of existing usage information in the database

What's already out there? Leveraging the existing

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SiteStats Tool:

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The existing

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SiteStats tool, which is currently marked as a Sakai Contrib, provides what is effectively an instructor-level view of usage on a site-by-site basis. Some of the logic of this code, however, may be useful in developing more of a global analysis of the data already available.

Confluence Docs: http://issues.sakaiproject.org/confluence/x/Gz0
SVN for v2.1.x: https://source.sakaiproject.org/contrib/ufp/sakai_2-1-x/sitestats/

UCD Functionality Wish List:

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