Record revenue in a pandemic year.
Built on one AI forecasting model.

Good governance had to mean AI-ready governance.

The university needed AI built into its data governance framework, not added on top of it. Strategic decisions were meant to rest on reliable, data-driven insight, but embedding that discipline consistently across diverse departments and functions was the real test.

Operational efficiency depended on getting this right. Without a governed way to bring AI and data together, decision-making stayed reliant on instinct rather than evidence — and that gap sat between the university and the growth it wanted.

Three constraints were non-negotiable:

• Embedding AI inside the data governance framework
• Backing strategic decisions with reliable, data-driven insight
• Improving operational efficiency across every department

One model, wired into governance and finance.

The team developed and integrated a machine learning model to support strategic targeting and financial forecasting, built inside the university’s data governance framework rather than bolted onto it afterward.

That work strengthened the connection between data insights and financial outcomes, giving the university a data-driven basis for decisions that had previously depended on judgement alone.

The result showed up directly in the numbers: improved forecasting accuracy and tighter strategic alignment drove substantial revenue growth, streamlining financial planning processes across the institution.

The best year on record, in the hardest year on record.

Data governance and financial forecasting turned out to be the same conversation. By embedding a machine learning model directly into how the university interpreted and acted on its data, leadership had a trustworthy basis for strategic decisions — and that translated into record revenue in one of the toughest years higher education has faced.