Case Study: Leading Financial Services Company achieves faster fraud detection and reduced risk with Software AG (Zementis Predictive Analytics)

Leading Financial Services Company - Customer Case Study

A leading U.S. financial services firm with global operations and diverse banking, wealth, consumer finance and insurance products faced exploding data volumes, aggressive regulation, and extreme product flexibility that made manual, hand‑coded fraud models untenable. The resulting operational bottleneck left the company exposed to faster-moving external fraud risks—like money laundering—and threatened costly regulatory penalties and slowed time to value.

The company deployed Zementis Predictive Analytics to automate model operationalization, leverage machine learning, streaming analytics and PMML-based interoperability, and integrate predictive scoring into live transaction processing. The solution scaled rapidly across channels, cut decision‑making from months to days (even hours), lowered costs, reduced overall risk, improved real‑time fraud detection, and freed data scientists to focus on modeling rather than manual fixes.