John Hancock Retirement Plan Services Expands Predictive Analytics Capabilities to Close Retirement Savings Gap
The company conducted a predictive analytics pilot with long-term client Farm Credit Foundations (FCF) which had very high participation and retirement readiness but wanted to know why the few non-contributors had opted out after they were auto-enrolled.
Using predictive analytics, JHRPS modeled participant data to identify participant segments – top, normal, and non-contributors; the team enriched the data with third-party data to provide broader insight into the personas, and then used machine-learning algorithms to predict future outcomes. The analysis identified who the non-contributors were and provided insight into what might help them save more.
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Since then, JHRPS has rolled out its predictive analytics capabilities to several large clients, working to uncover patterns in under-participation. Now it is using the technology to dissect its full book of business, so that insights gleaned from participant data from across the platform can be used to help guide plan sponsors, advisors, consultants, and TPAs working in all markets – small, mid-size, and large plans.
"The growth and maturity of technology – especially using big data along with sophisticated analytic tools and algorithms - has given us the ability to process massive volumes of data into insightful, interactive, results-driven systems," said
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1 As of 8/31/2017. Results may vary from plan to plan.
2 John Hancock Retirement Plan Services consists of John Hancock Life Insurance Company (
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SOURCE John Hancock Retirement Plan Services
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