How the English Office for Students leverages Databricks to enhance higher education standards and drive better student outcomes

Summary

The Office for Students, which regulates more than 400 higher education providers in England, modernised its data and analytics environment after a legacy platform could no longer handle growing volumes, varied sources, or emerging analytical demands. Its data spans millions of student records collected over 15 to 20 years, and a workflow processing about 300 million records took eight hours. Moving to Databricks consolidated structured, qualitative, and near-live data with analytics and AI workflows, while Unity Catalog added lineage, access controls, and security patterns for governed use. Genie Code reduced a student segmentation analysis from at least two weeks for two analysts to half a day, and a provider-registration triage proof of concept flags missing submissions earlier. The organisation frames AI as decision support rather than decision-making, keeping humans responsible for regulatory judgments.

Takeaways

1. 1

   A student segmentation analysis that previously required two analysts for at least two weeks was completed in half a day with Genie Code.

2. 2

   Unity Catalog supports data lineage, consistent access controls, and security patterns for regulated higher education data.

3. 3

   A provider-registration triage proof of concept flags missing submissions before full assessment, helping identify compliance issues earlier.