Case Studies > Predictive Analytics for Insurance Fraud Detection
BFSI
Predictive Analytics for Insurance Fraud Detection
A leading insurance company reduces P&C claims fraud by 23% by using predictive analytics for insurance fraud detection. The client experienced major revenue losses due to the highly evolved fraudulent claims. The business entities urgently needed a more intelligent data analytics solution that could raise red flags and identify fraud practices and claims.
The client aimed at implementing predictive analytics for insurance to:
- Detect fraudulent claims and reduce revenue loss
- Analyze extensive real-time data, raise red flags, and identify fraudulent claim bills
BFSI
Predictive Analytics for Insurance Fraud Detection
A leading insurance company reduces P&C claims fraud by 23% by using predictive analytics for insurance fraud detection. The client experienced major revenue losses due to the highly evolved fraudulent claims. The business entities urgently needed a more intelligent data analytics solution that could raise red flags and identify fraud practices and claims.
The client aimed at implementing predictive analytics for insurance to:
- Detect fraudulent claims and reduce revenue loss
- Analyze extensive real-time data, raise red flags, and identify fraudulent claim bills
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