Sectors

Education

Education data, out-of-school-children monitoring and school-level analytics, counted honestly and checkable end to end.

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Education programmes need to know who is out of school and where, how many have been returned to class, by whom, and whether they stay. Those questions drive funding and targeting, so the counting has to be right and it has to be checkable.

We build the live monitoring systems and corrected counts behind those answers, reading directly from the data warehouse, and we keep personal data out of the reporting layer entirely.

What we help with

Counting that drives funding, done correctly.

Out-of-school-children monitoring

Live dashboards that distinguish children identified in a survey from those enrolled outside it, so the re-enrolment figures mean what they say.

Enrolment and school-level tracking

Whole-school enrolment and dropout tracked over time, with like-for-like comparisons rather than inflation from newly added schools.

Survey and household-listing analysis

Large education and household datasets cleaned, deduplicated and analysed, with invalid records flagged rather than left to distort totals.

Warehouse-connected dashboards

Reporting that reads live from your cloud warehouse, so there is one source of truth and nothing drifts out of date.

Protected handling of child data

Queries that select only what aggregate reporting needs, so names and phone numbers never reach the reporting layer at all.

Independent reconciliation

A reconciliation step that recomputes every headline figure from the raw columns and checks it before anything is published.

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Proof

A live, verifiable out-of-school-children dashboard.

Our case studies include an out-of-school-children monitoring dashboard built from scratch and later upgraded, where a counting flaw was corrected, all personal data was kept out of the reporting layer, and every figure was independently reconciled before publication.

See the case studies

Working on a education programme?

Tell us the decision the data has to support. If we are not the right fit, we will say so, and point you to someone who is.

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