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How to Leverage Combined Data Analytics for Life Insurance Success

From Status Quo to Innovation: How to Leverage Combined Data Analytics for Life Insurance Success

Learn how combined medical and non-medical data analytics helps life insurers improve segmentation, quantify impact and scale accelerated underwriting programs.

Think digital transformation sounds expensive? What about the long-term cost of the status quo? There is no doubt that change is an intimidating prospect. From shifting generational expectations in the buying experience, to scaling your accelerated underwriting programs without compromising accuracy to managing expense pressures, many life insurers are trying to find ways to balance it all. Innovative information analytics can be the answer that yields benefits for insurers and consumers alike.

What’s included?

Watch our on-demand webinar, where we will explore:

  • A live demo of a visualization dashboard created on a dataset that allows for medical impairments to be crossed with non-medical scores for better segmentation.
  • How a carrier can conduct a study on their book of business to get an idea of the quantifiable impact of this data.
  • Best practices when conducting post-issue assessments and how to leverage combined data to find true gaps in accelerated programs and create a robust analytical foundation.
  • The future of analytics with AI-based mortality models and how to leverage them to capture complex relationships in medical and non-medical life events.
Matt Stull

Matt Stull

Senior Director of Data Science
Patrick Sugent

Patrick Sugent

Vice President, Data Science

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