Case Study

Saama Insurance Fraud Analytics

Saama Insurance Fraud Analytics

Fraudulent insurance claims represent 10 percent of all claims paid in a typical property and casualty insurance company. Saama Insurance Fraud Analytics enables insurers to screen claims on a near real-time basis against 30 flag models and 3 predictive models, enabling the routing of suspect claims to a special investigating unit (SIU) and moving the others ahead without delaying the claims settlement process. The process can deliver a

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