
What are the best ways to implement predictive modeling into relevant areas of actuarial practice?

This paper tries to solve the problem where a system or application, built over R, can communicate to a database with massive data volume, residing on a remote system, to retrieve only the chunks of data needed for current analysis to gain scalability and speed by leveraging the data management and querying speed of the databases.

This report discusses findings from Milliman’s research on predicting lapse and mortality rates for 10-year and 15-year premium term insurance products from the Milliman Industry Study and Analysis data set.