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Results Of The Use Of Predictive Analytics In Life And Health Insurance

June 12, 2019 Leave a comment

Predictive analytics involves the analysis of large data sets ie big data ,to make inferences by identifying meaningful relationships between different variables and using these relationships to forecast what might happen in the future with an acceptable level of reliability.Predictive Analytics includes what-if scenarios and risk assessments.

Now, insurance is an industry where intelligent use of data can provide huge competitive advantages.So over the last dozen years, insurance companies world-wide have tried to be early adopters in using the emerging science of predictive analytics in life and health insurance to get ahead of their competitors.They have attempted to use predictive analytics to segment and underwrite their risks in a more accurate, reliable and cost-effective way. Read more of this post

Filed under Tidbits Tagged with bank assurance, big data, Clair Nolan, credit scores, data from variables, demographics, forecst, health insurnce, Insurance, life insurance, postaday, predictive analytics, risk assessment, social media mining, Swiss Re, underwriting, variables, William Trump

The World’s Biggest Life Insurance Policy

March 19, 2014 1 Comment

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Guinness World Records has announced the World’s Biggest Life Insurance Policy ever issued.

However,neither the record keeper nor the issuer would say who is covered by the massive policy.Dovi Frances, the adviser who arranged the policy, would only say it went to a well-known technology billionaire from California.

The wealthiest of the wealthy often buy life insurance for several reasons.Primary among them are tax purposes.In many countries,a wealthy estate is often hit with a hefty tax bill, and there may not be enough cash to cover it, since many millionaires and billionaires hold their wealth in investments.

This $201 million policy overtakes the previous record of $100 million.It is more complicated than most. It’s underwritten by 19 different insurance companies, each with a slice of less than $20 million. If a single company took the risk of the whole policy they would go into bankruptcy if a claim were to be made.

The yearly premium is in the low single-digit millions.