Synopsis

This case was written for the EC course “Managing with Data Science.” The course provides MBA students with no programming experience an introduction to the field of data science and its applications in business. Students learn to (1) carefully articulate the business ask; (2) reason carefully from the ask, through metrics and models, and outputs; and (3) evaluate outputs from models to (4) develop a plan for action. This case gets students to grapple with a business “ask” through a data science lens in the context of a large nationwide general retailer. Technical topics include Logistic regression, Ridge & Lasso regression, ROC curve, and picking a cutoff value to optimize a preferred expected value.

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