Logistic regression-based predictive modeling of the customer data to identify churn
Solution details
- The solution is developed on Mindtree’s data analytics platform - Decision Moments
- The solution performs Exploratory Data Analysis (EDA) and builds The logistic regression model to identify The probability of account churning and The factors influencing it
- Sentiment Analysis was conducted on Twitter data to understand customers viewpoint
Key Business Benefits
- Helps create the retention strategy for targeted customers
- Establishes frame to bring probable loss levels under control
- Focuses on the right customers and delivers improved customer notifications to meet their needs/demands