Case Study: Fortune 500 Global Financial Services Company achieves dramatic model speed-ups, significant productivity gains, and improved customer experience with Domino Data Lab

Creating Empathy with Millions of Customers Around the World

A Fortune 100 global financial services firm with a distributed data science team faced fragmented development environments (SAS, R, Python on separate servers), dispersed data across dozens of systems, and slow, nonreproducible model deployment that often stalled projects when key people were unavailable. The company needed consistent code sharing, streamlined secure access to pooled data, and a way to operationalize models into business processes.

Adopting the Domino data science platform centralized tooling and governance while preserving language choice, enabled reproducible projects and easy collaboration, and made it simple to serve models via APIs (on‑prem now, AWS soon). The platform cut model run times from days to under an hour, saved employees hours per week, increased data scientist productivity and teamwork (scaling users from 15 toward 75), and delivered measurable gains in call‑center training, talent acquisition, and customer experience initiatives.