Desjardins-Rotman: Predicting Contributing Factors To Premium Leakage

Desjardins Insurance is a subsidiary of Desjardins Group and provides a broad spectrum of insurance products and services. This includes life insurance, auto insurance, home insurance, and various other types of coverage. It’s known for its strong presence in the Canadian insurance market and its commitment to customer satisfaction.

Our organization has been successful at identifying past instances where we collected the wrong client information regarding its automobile insurance policy leading to premium inadequacies and leakage. This can come from many different sources, including a simple misunderstanding of insurance processes all the way up to insurance fraud. Although we are able to timely flag policies that are most likely to have the wrong information and cause leakage, we still haven’t developed predictive models to better understand the contributing factors that can lead to this leakage. By providing a combination of different data sets and the indicator about a policy being flagged or not for leakage, we are expecting the Rotman students to use predictive analysis techniques to help us figure out which variables strongly contributes to having a policy being flagged or not. This information will equip leadership in many ways, as such – navigating decisions and will provide overall benefits from a performance lens, enhancing business practices, and behaviours that contribute to sustainable growth.

Faculty Supervisor:

Gerhard Trippen

Student:

Partner:

Desjardins Assurances Générales

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Toronto

Program: