Key takeaways

  • Analytics runs from descriptive (what happened) to prescriptive (what to do)
  • Reliable descriptive reporting delivers more value than early prediction
  • Trust in numbers comes from shared definitions, one source and visible comparisons
  • Start every analysis from a decision question, with an owner for each indicator

Four levels of analytics

Most institutions get the greatest value from doing descriptive analytics well before investing in prediction.

LevelQuestionExample
DescriptiveWhat happened?Enrolments by programme this cycle
DiagnosticWhy did it happen?Which sources and stages explain lower conversion
PredictiveWhat is likely to happen?Forecast enrolment range for next month
PrescriptiveWhat should we do?Suggested follow-ups most likely to help

Where the data comes from

Institutional analytics draws on admissions and CRM data, student records, attendance and results, learning platform activity, finance and communication logs. The quality of analysis depends on the quality and consistency of these sources, which is why a shared data model matters.

Building trust in numbers

  • Agree written definitions for key terms (applicant, enrolled, active)
  • Show the definition next to every indicator
  • Use one source of truth rather than competing spreadsheets
  • Show comparisons, not isolated numbers
  • Let people drill down to the underlying records
  • Publish known data-quality issues rather than hiding them

From insight to action

  1. Ask a decision question

    Start from a decision, not from available data.

  2. Choose a few indicators

    Pick measures that inform that decision.

  3. Assign owners

    Each indicator has a person who acts on it.

  4. Review on a rhythm

    Weekly in busy seasons, monthly otherwise.

  5. Record decisions

    Note what was decided and check the effect later.

Frequently asked questions

Should we start with predictive analytics?

Usually not. Reliable descriptive reporting with agreed definitions delivers more value first and is the foundation for prediction.

How many indicators should leadership track?

Few enough to discuss in a meeting, typically eight to twelve, each with an owner.