Make decisions

Managers need to make many hard decisions. It helps when they have some data to back up the decision-making process.

This class of problem generally requires 108.30.30 Data Analysis - Prescriptive analysis Here are some of the kinds of decisions they can use data science to help with:

• Impact of packaging, upsells, new products
  • Would bundling services increase overall revenue?
  • Would launching a mobile app impact usage on the web site?
  • RFM segmentation, and reaching out to best customer groups can be useful here 108.30.10.20.20.10 Data Analysis - Segments - RFM
• Impact of promotions
  • Are customers who use coupons borrowing from future purchases?
  • Will sale buyers become loyal purchasers?
• Impact of displays
  • Which type of displays (e.g. End of aisle) work better?
• Within and across category
  • Which categories are substitutes / complements?

Note, these are slightly different than the case of 108.20.10 Data Analysis - Optimize.