Case study part 2: Improving financial projections for long-term care insurance with predictive analytics

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By Missy Gordon, Joe Long | 25 April 2018

This study dives deeper into how predictive analytics can be used to help overcome some of the challenges in developing accurate financial projections of long-term care insurance. The discussion includes how predictive analytics can help determine the amount of credibility to give the historical experience and how it can help navigate the complex interactions that underlie this experience.

This article was originally published in the April 2018 issue of Long-Term Care News.

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