A Predictive Analytics Framework A Reusable Workflow For Experience Analysis
November 2024
Author
SOA Individual Life Experience Committee
Predictive Analytics Subgroup
Description
This project was developed by the Predictive Analytics Subgroup of the Society of Actuaries (SOA) Research Institute’s Individual Life Experience Committee (ILEC). The purpose of this project is to provide actuaries with a reusable toolset to expand their analytics capabilities for experience analysis. Workflow and code are provided, and a GitHub repository is available for experimentation and to adapt to one’s own data sources. Additionally, important insights on a subset of the data are provided for experience years 2013-2017.
Materials
A Predictive Analytics Framework A Reusable Workflow For Experience Analysis
Toward a Predictive Analytics Framework (HTML)
GitHub - Society-of-actuaries-research-institute/RILEC
Acknowledgements
The SOA Research Institute’s deepest gratitude goes to the Subgroup for their diligent work to develop the framework, analyze and publish the results, and draft the report and GitHub repository.
Subgroup members:
Philip L. Adams, FSA, CERA, MAAA
Cynthia Edwalds, FSA, ACAS, MAAA
Brian Holland, FSA, MAAA
Michael Niemerg, FSA, MAAA
Haofeng Yu, FSA, MAAA
At the Society of Actuaries Research Institute:
Korrel Crawford, Senior Research Administrator
Pete Miller, ASA, MAAA, Experience Studies Actuary
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If you have comments or questions, please send an email to research@soa.org.