Data Quality, Managing Change Key for Underwriters' Predictive Models

The annual conference of Insurance Accounting and Systems Association, Inc. presented the benefits and challenges of the use of predictive models for underwriting, stressing the volume of quality data needed to make the models both relevant and statistically accurate, as well as the challenges faced in managing change among the old guard of underwriters. One thing is certain: the use of technology going forward to streamline the underwriting process is inevitable; how carriers respond to it will be key.

Data quality, managing change key for underwriters' predictive models | Business Insurance.

Join the Conversation on Linkedin | About PEO Compass

The PEO Compass was founded by Paul Hughes in 2012. The PEO Compass is a friendly convergence of professionals and friends in the PEO industry sharing insights, ideas and intelligence to make us all better. All writers specialize in Professional Employer Organization (PEO) business services such as Workers Compensation, Mergers & Acquisitions, Data Management, Employment Practices Liability (EPLI), Cyber Liability Insurance, Health Insurance, Occupational Accident Insurance, Business Insurance, Client Company, Casualty Insurance, Disability Insurance and more.

To contact a PEO expert, please visit Libertate Insurance Services, LLC and RiskMD.