Transforming Raw Data into Student Behaviors.

Your retention initiatives need to be supported by a robust data strategy that includes all of your potential data sources and behavioral metrics that can be derived from them.

Most universities stop at the SIS and LMS. While those are two powerful data sources, they are barely scratching the surface of what can be measured from a behavioral perspective.

University Data Sources

Use new data sources that can drastically improve ability to analyze student success.

Student IDs

Acting as passports that get you into buildings or onto the bus, a student is seldom without his student ID.

As a data source, the student ID card can provide some glimpses of student behaviors that would otherwise be unavailable, particularly around student spending habits and check-ins at secure buildings.  However, without a significant university focus on collecting engagement data and emphasizing swipes, it often needs to be supplemented by more robust sources of information (such as app or WiFi).

Student Behavioral Metrics

Analyze more student behaviors that better align with student success


  • Class Attendance
  • Absence Alerts
  • Context / Importance

Online Learning

  • Student participation
  • Online assessments
  • Learning patterns

Academic Behaviors

  • Library Time
  • Academic Time
  • Class Engagement


  • Assessments
  • Midterms
  • Grades

Social Behaviors

  • Community Spaces
  • Campus Dining
  • Engagement scores

Student Activities

  • Event Attendance
  • Campus Groups
  • Identify Trends

Campus Usage

  • Building Utilization
  • Under-used Facilities
  • Facility Management

On-Campus Time

  • Total on-campus time
  • Nights / weekends
  • Trends

Turn your data into actionable retention insights.