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Data science and technology for health insurance portfolio optimization

Data science and technology for health insurance portfolio optimization

  • Client
    Novonor Group Companies
  • The challenge:
    Pricing health insurance is a complex challenge and involves a number of risks for companies. What can we do to improve the relationship between risk and return? This was the central issue of the solution developed by Horiens considering policies with 80 thousand insured members and a scenario in which Health Insurance represents about 20% of the companies’ payroll.
  • How we solve?
    Using statistical modeling and technology applied to proprietary health portfolio data, we build models of the frequency of insurance usage as well as the severity tied to usage. Predictive analysis allowed the implementation of improvements and bringing more information to the negotiation and generating value for the customer.

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