Improvement in model accuracy
Uplift achieved from existing baseline Risk Score Model
The customer 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 customer churn at a quarterly level albeit without any statistical understanding. They wanted to maximize their ability to predict groups with a high probability of churn and identify the key reasons that influence the probability of churn.
Google Cloud Compute Engine
Google Cloud Storage
Google's BigQuery
Tableau
Quantiphi developed a churn prediction model and Tableau dashboard that enabled the business to better mitigate churn by developing a sound understanding of the factors responsible.
