The insurance industry has always made use of data to make better decisions. The underwriting department of an insurance company has been at the forefront of data use for many years – using historical claims data as well as factors such as driver age, gender, credit score, and so on to project potential for loss, and make risk determination.
Now, many insurers are making significant investments in predictive analytics. According to the IVANS 2011 Carrier Automation Trends study released September 2011, 37 percent of carriers are currently using or plan to integrate predictive modeling and business intelligence into their organizations in the next 12 months, with the goal of greater consistency and accuracy in business decisions in less time.[i]
A survey conducted by Towers Watson in October-November 2011 specifically asked insurance carriers about the bottom- and top-line benefits of incorporating predictive models into rating, pricing, underwriting, and risk selection processes. Seventy-five percent of those surveyed identified bottom-line benefits of rate accuracy, loss ratio improvement, and improved profitability. Over one-third of those surveyed also identified top-line benefits of 'expansion of underwriting appetite', 'improved renewal retention,' and increased market share.[ii]
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