predictive analytics

As the life insurance industry continues to look for innovative ways to respond to the changing needs, expectations and buying preferences of 21st century consumers, insurance companies and their reinsurance partners have responded by expanding research and development capabilities. As a key area of research within the industry, cross-functional R&D teams of actuaries, underwriters, data scientists and statisticians are focusing on providing value-added intelligence and advice around the mortality risk implications of using risk scores and new data sources in accelerated and enhanced underwriting programs.

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Peeing in a cup, giving blood samples, getting blood pressure checked and stepping on the scale were once unavoidable (and often dreaded) parts of applying for life insurance. But data services and technology are gradually replacing the life insurance medical exam.

Jennifer Golbeck, Director of the Human-Computer Interaction Lab at the University of Maryland speaks with LIMRA’s Eric Sondergeld about “Big Social Data” and how to balance the need by industry for insight with the desire for privacy by consumers.

The Predictive Analytics & Accelerated Underwriting Survey Subcommittee of the Society’s Committee on Life Insurance Mortality and Underwriting Surveys has completed its report on the results of a survey designed to obtain feedback on several current hot topics in the industry, namely predictive analytics, accelerated underwriting and enhanced underwriting. This survey was sent to US and Canadian direct life insurance companies.

How big is “big data” for life and health insurers? What are insurers worldwide focused on when it comes to predictive analytics? How are they adopting it and what are their expectations for the future? We set out to find answers to these questions through our global predictive analytics survey just released to participants this month.

Data. Those of us in the insurance industry have always collected data, had access to it, and analyzed it to the best of our abilities. But the amount we are collecting, where it’s coming from, and the way that we collect and manage it, has catapulted us into a whole new stratosphere over recent years. In this new world of harvesting data from an ever-growing number of categories of data and the types of devices generating it, we must focus on the trends that are transforming our industry, and come up with a formula to analyze and make the data actionable for our business.

This article explores the validity of claims that theory has lost its practical purpose in a world where the abundance, and easy availability, of data is purported to provide sufficient guidance to our actions. In a future Risk Insights article we will consider the possible consequences for the life insurance industry with a particular eye on the future role of human expert knowledge

By integrating data and advanced analytics into their processes, life insurers can capture one or more lucrative niches, including millennials in the middle market, before the competition does.

Personal health wearable devices used to monitor heart rates, sleep patterns, calories, and even stress levels raise new privacy and security risks, according to a report released today by researchers at American University and the Center for Digital Democracy.

Insurers have developed mathematical algorithms to determine where they can speed up the underwriting process

http://www.lifehealthpro.com/2016/12/08/the-revolution-in-impaired-risk-...