Case Study: Property & Casualty (P&C) Insurance Company achieves faster, more accurate claims fraud detection and prevention with Teradata Business Analytics Solutions

Using Teradata Business Analytics Solutions to Mitigate Fraud

Teradata worked with a property-and-casualty insurer that was struggling with increasingly sophisticated claims fraud and a small investigations team overwhelmed by a high volume of cases. The insurer needed a technology- and outcomes-focused analytic approach to identify fraud before claims were paid and limit costly losses and reputational damage.

Using Teradata Business Analytics Solutions and the Business Value Framework, consultants applied text mining to extract identifiers from claim documents, then used graph modeling, machine learning and visualization to reveal connections and prioritize likely fraud cases. Automated payment holds and targeted investigator workflows sped detection, reduced false positives, uncovered organized fraud rings, and made the fraud team far more productive—delivering faster, higher-impact risk mitigation and measurable time and cost savings.