Case Study: a major US insurance company improves fraud detection with IBM i2 software

A major US insurance company improves online insurance fraud detection

A major US insurance company faced the challenge of detecting and preventing online auto and medical insurance fraud more quickly. To maintain its reputation and profitability, the company needed to ingest and analyze data from multiple sources with greater speed and accuracy to identify fraudulent claims and relationships between fraudsters. It turned to IBM and its IBM i2 suite of software to enhance its capabilities.

IBM implemented its IBM i2 Analyst’s Notebook, IBM i2 iBridge, and IBM i2 Text Chart software. This solution enabled the company to transform unstructured data and visualize connections, helping it to rapidly identify repeatable patterns and hidden relationships in the data. As a result, the company improved its fraud prevention, saving money for both the business and its customers, and was able to provide stronger referrals to law enforcement.