6 Ways Predictive Analytics in Insurance will Shape the Industry in 2019

According to Willis Towers Watson, 54% of insurers utilize predictive models to collect data regarding their customers and their businesses. That figure is expected to grow significantly over the next year, as the inherent value of predictive analytics in insurance is showing itself in myriad applications. ** 1) Pricing & Risk Selection
2) Identifying Customers at Risk of Cancellation
3) Identifying Risk of Fraud 4) Triaging Claims
5) Identifying Outlier Claims
6) Anticipating Trends

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