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Conclusion

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Introduction

Introduction

Risk Evaluation

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Predictive Analytics help insurers to accurately predict risk. It leads to accurate risk assessment and help determine policy premiums on which insurers’ losses or gains depend.

Fraud Prediction

It assists in the timely detection of insurance fraud and false claims. It exposes suspicious claims, identifies risk via risk scoring and if necessary subject to further investigation.

Enhanced Customer Services

Predictive Analytics in insurance

underwriting provides insurers with a closer view of their data quality. It improves operational efficiencies and increases profitability.

Conclusion

Predictive Analytics in insurance has enhanced decision-making power and enabled more automation in the industry. It has deliberately enhanced industry operations and improved business insights. It has empowered insurers and opened up fresh opportunities in insurance coverage and underwriting.

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