Course Objectives
- To teach how use customer data
- To introduce current customer analytical methods
- To make customer analytics applications using real-world data on
- Ensure that the student completes a real-life project with the term project
Topics
- Fundamentals of customer analytics
- Customer Identification: customer life time value
- Customer Identification: customer segmentation
- Customer targeting: RFM (recency frequency monetary) analysis for customer conversion
- Customer targeting: Logistic regression for customer conversion prediction
- Customer targeting: decision tree for customer conversion prediction
- Customer development: association rule mining
- Customer development: next product to buy models and cross selling
- Customer development: recommendation systems
- Customer retention: churn analysis
- Analysis of real world analysis