Demystifying Academic Analytics with D2L

Accountability, stakeholders, dashboards – this is the language of corporations, not academia, but more and more often these days, academic institutions have to prove their performance to external audience to obtain funding and accreditation.

Academic analytics not only provides information to external audiences, it also helps drive decision making about which programs and initiatives are best suited to help the institution meet its goals.

Academic analytics allow academic institutions to create an integrated, flexible process to steer performance and increase accountability.

To secure the utmost benefits possible from academic analytics, we need to have a clear-cut understanding of its components; namely:

  • Data Activities
  • Data Points
  • Data Comparisons
  • Data Analysis
  • Data Synthesis
  • Outcome, Decisions and Processes 

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