Predictive Analytics

a. Cluster Analysis

  • Segmentation model for employee attrition management to help in retaining high-performing and/or high-potential employees that are likely to leave
  • Retail store customer profiling to identify premium customers and maximize revenues

b. Regression

  • Predict insurance policy lapse using data from customer demographics and interactions
  • Selecting prospects for a campaign based on likelihood of purchase determined by historical analysis of demographics, purchase behavior, product preferences etc.

c. Association Rules

  • Determine products to be positioned for sale to a particular prospect e.g., an insight can be that insurance customers who bought investment linked policy also bought Term Insurance in late 30’s. So these two products can be bundled with a promotional offer for people in late 30s, with an expectation that both will sell.

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