Improvement in model accuracy
The client is an American insurance company that provides financial protection to more than 50 million people worldwide. Their financial planning and analysis teams create projections on agent churn at a quarterly level albeit without any statistical understanding.
They wanted to develop a deep understanding of the reasons behind the churn and better target agents who are likely to churn.
R-Studio
EC2
Apache Zeppelin
Amazon RDS
Quantiphi developed a churn prediction model that enabled the business to better mitigate churn by developing a sound understanding of the factors responsible.
