Risk analytics is revolutionizing the processes and tools employed by insurers to more quickly and accurately market, price, and underwrite their products. Additionally, these tools have the potential to enhance an insurer's ability to manage claims more effectively. With improved management, insurers can reduce overall costs, premiums, and claims, all while gaining a competitive advantage and, ultimately, increasing their market share. Through advances in technology and data availability, many insurers already benefit from the use of data analytics and predictive modeling capabilities to better understand and identify risk.
What is Risk Analytics?
Risk analytics is a quantitative method of examining data for the purpose of drawing conclusions about the information. When coupled with predictive modeling, risk analytics has the potential to answer very important questions about risk. The critical ingredient is data, which must be gathered, scrubbed, aligned, indexed, and benchmarked to be useful in building predictive models.
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