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Using risk analytics to prevent accidents before they occur – the future of insurance

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Abstract

While insurance was originally devised as a safety net that steps in to compensate for financial losses after an accident has occurred, the information generated by sensors and digital devices now offers insurance companies the opportunity to transform their business by considering prevention. We discuss a new form of risk analytics based on big data and algorithmic prediction in the insurance sector to determine whether accidents could indeed be prevented before they occur, as some now claim is possible. We will use the example of motor insurance where risk analytics is more advanced. Finally, we draw conclusions about insurance’s new preventive role and the effect it may have on the policyholders’ behavior.

Suggested Citation

  • Guillen, Montserrat & Cevolini, Alberto, 2021. "Using risk analytics to prevent accidents before they occur – the future of insurance," Journal of Financial Transformation, Capco Institute, vol. 54, pages 76-83.
    • Handle: RePEc:ris:jofitr:1672
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    File URL: https://www.capco.com/-/media/CapcoMedia/Capco-2/PDFs/Journal-54/Journal54WebGuillen.ashx
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    More about this item

    Keywords

    big data; pricing; motor insurance; telematics;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G52 - Financial Economics - - Household Finance - - - Insurance

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