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How the English Office for Students leverages Databricks to enhance higher education standards and drive better student outcomes
Kacey Hertan
- Source
- Databricks
- Published
- Added to Yomu
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.
Context
The Office for Students’ legacy analytics platform struggled with data volumes of up to 3 million records per year, sources spanning 15 to 20 years, unstructured and qualitative information, and increasingly demanding analytical work. A 300-million-record workflow took eight hours, while specialised legacy-platform skills were difficult to hire.
Approach / What changed
The organisation moved to Databricks to unify structured, qualitative, and near-live data with analytics and AI workflows. Unity Catalog provides lineage, access controls, and security patterns, while Genie Code supports complex analytical tasks and provider-registration triage within a governed environment that retains human oversight.
Takeaways
- A student segmentation analysis that previously required two analysts for at least two weeks was completed in half a day with Genie Code.
- Unity Catalog supports data lineage, consistent access controls, and security patterns for regulated higher education data.
- A provider-registration triage proof of concept flags missing submissions before full assessment, helping identify compliance issues earlier.