Case Study: a leading insurance provider reduces false positives with Sigmoid's real-time fraud detection

a leading insurance provider reduces false positives by 85% with Sigmoid

A leading insurance provider faced challenges with its existing fraud detection system, which was inefficient and generated too many false positives. The client needed a near real-time solution to better identify fraudulent claims and process valid ones. To address this, they partnered with the vendor Sigmoid for a tailored data analytics solution.

Sigmoid analyzed and mapped the insurer's data, scaling and integrating it into a custom fraud database. Their solution created a system for identifying the traits of both suspect and legitimate claims during processing. Sigmoid's implementation resulted in a 30% increase in effective fraud detection and a significant 85% reduction in false positives for the client.