Education data · 2023—now

SCØRECARD

Fragmented education data → usable intelligence

Turning educational complexity into structured data products for institutions, students and employers.

The situation

Education produces enormous amounts of data and almost no usable intelligence. Programmes, skills, outcomes and labour-market demand all live in separate systems that never speak to each other.

Institutions could describe what they taught. Nobody could reliably describe what it was worth.

The actual problem

It looked like a reporting problem.
It was a structure problem.

You cannot analyse information that was never modelled.

What I changed

Messy
Untangle
Make it understandable
Fragmented education data → usable intelligence
Before
25 moving parts
  • Complex.
  • Expensive.
  • Hard to change.
After
5 moving parts
  • Simple.
  • Flexible.
  • Easy to scale.
  • Modelled programmes, skills and outcomes as structured data
  • Built a pipeline that normalises fragmented institutional sources
  • Designed products for three different buyers on one data layer
  • Made the intelligence explainable rather than algorithmic
Artefact — process diagram
Artefact pending publication.
Placeholder container for the real artefact from this engagement.

Result

180+
institutions
760+
programmes
30,000+
skills mapped

The same data layer now serves institutions, students and employers with different products.

What this taught me

Complexity is usually an information problem wearing a strategy costume.

More thinking →

Principles at work here

Complexity needs structure before intelligence

You cannot analyse information that was never modelled.

All principles →

More work