Customer Risk Profiling system for life insurance provider

Customer Profile

Leading life insurance provider

Problem Statement

BFSI players often collect data from multiple data sources and struggle with collating the entire data to

• Get a 360-degree view of the customer
• Calculate their risk averseness. Understanding how risky is each customer is important to pitch them relevant products, detect frauds, etc.

BluePi’s Solution

• BluePi has built a machine learning-based Customer Risk Profiling system.
• The primary objective is achieved by segmenting customers as high risk, medium risk and low-risk customers based on parameters like demographics, education, health details, policy attributes, etc
• The data was stored on S3 and the algorithm being used to solve the problem was implemented and trained on EMR using that data

Value Added

The model helped client to:

• Propose the right solution to the customer based on his/her risk score
• Run targeted marketing and outreach campaigns

AWS Service used

EC2, S3, Redshift, EMR, Glue