Data and analytics in education: how to make better decisions with school dashboards

Renewal rate by stage, cancellations by reason, evolution year by year. Educational retention analytics allows you to identify causes and prioritize actions. A school dashboard with retention indicators helps reduce avoidable withdrawals.

4. Family satisfaction

Surveys, complaints, response time. Educational satisfaction analytics complement operational data. A school dashboard that includes feedback from families gives a more complete vision.

How to implement a school dashboard

Define what questions educational analytics should answer (what to prioritize in collections? Where is there more absenteeism?). Select indicators that answer those questions. Configure the school dashboard with data that is automatically updated from the management system. Manual educational analytics (export to Excel) does not scale; Integrate the school dashboard with your software.

Common errors in educational analytics

• Too many unfocused indicators. An overloaded school dashboard goes unused.
• Outdated or manual data. Educational analytics must be automatic.
• Do not act with the data. A school dashboard that no one consults does not add value.

How many dashboards do I need?

One monthly operation for management; avoid duplicating Excel.

Dashboards that do use the address

A useful dashboard has fewer than ten indicators, automatic updating from the ERP and agreed red/green thresholds. Avoid screens with 40 graphs that no one opens after the first month.

Data sources

• Billing: Delinquency, age of debt and collection rate; It must be fed from the ERP collections module, not from manual Excel.
• File: Absenteeism, incidents and monitoring per student; same source that the secretariat uses daily.
• CRM: Application-enrollment conversion, pipeline and time at each stage.
• HR: Only if it is integrated into the ERP; If a KPI requires Excel export, it will no longer be reviewed by the committee.

Review Cadence

Day 3 of each month, 30 minutes: cash, late payment, occupancy, admission pipeline, absenteeism by course. A specific action per KPI in red.

A director who reviews occupancy, late payments, absenteeism and application conversion every month makes decisions before the problem appears in the treasury. Dashboards should use the same data as billing and secretarial, not duplicate Excel with different criteria depending on who prepares the report.

In groups of schools, consolidating by center avoids manual closures on the 5th of each month. The most common mistake is buying analytics separate from ERP: you end up with two sources of truth and three-hour meetings to reconcile figures. An operational dashboard with eight well-defined indicators and red/green thresholds is enough for most medium-sized centers.

Educational analytics in Spain is not only about complying with inspection reports: it is about anticipating late payment, detecting courses with anomalous absenteeism and measuring whether recruitment converts. If the dashboard is not in the monthly management meeting with an agreed action per KPI in red, it does not exist operationally.

Case study (Spain)

A director of a charter school reviews four KPIs on the 3rd of each month: occupancy, late payment >30 days, absenteeism from the previous month and open applications. When delinquency exceeds 8%, a direct debit campaign is activated; When the absenteeism of a course exceeds 12%, it calls the head of studies. Decisions in 30 minutes, not in three-hour meetings.