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Course Objectives

  1. To teach how use customer data
  2. To introduce current customer analytical methods
  3. To make customer analytics applications using real-world data on
  4. 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