Case Study: a large international bank achieves scalable analytic governance with Aginity

Large International Bank - Customer Case Study

Aginity worked with a large international bank facing a challenge in scaling its analytics. The bank had achieved over $1 billion in net revenue gains from analytic efforts, but these were built on manual processes. This led to high business risk due to duplicate work and inconsistent results across teams, with Aginity finding 60–70% of work across three teams was the same yet yielded different outcomes.

The solution involved Aginity’s platform for active analytic governance and a feature store. This allowed calculations and metrics to be built once and changed through an approved process, ensuring consistent enterprise definitions. A single update would propagate across all dependencies. The bank’s data scientists gained a consistent set of variables for machine learning, driving faster innovation. The measurable impact was the elimination of rework and inconsistency, securing the bank's ability to scale its analytic successes.