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Improve Underwriting Using Data and Analytics

Cloudera

Combining this data with more classical information such as annual checkups and medical records provides better insight into risks related to health, disability, and life insurance. IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ).

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”. Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport.