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CAIF Survey Shows Analytics Key Weapon in Slowing Insurance Fraud

For insurers facing increased organized insurance fraud, predictive modeling and text mining will be the primary anti-fraud technology investments anticipated by insurers over the next two years. A survey by the Coalition Against Insurance Fraud (CAIF) polled 74 US insurance executives earlier this year to understand how and to what...

By Staff Writer | Updated on September 10, 2012

For insurers facing increased organized insurance fraud, predictive modeling and text mining will be the primary anti-fraud technology investments anticipated by insurers over the next two years. A survey by the Coalition Against Insurance Fraud (CAIF) polled 74 US insurance executives earlier this year to understand how and to what extent insurers are using anti-fraud technologies.

The report, titled “The State of Insurance Fraud Technology” was sponsored by SAS, a provider of business analytics software and services

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