Turn predictive analytics into a profit center at your organization. Learn how to measure the return on investment (ROI) and prove the long-term value of your projects.
Overview
Syllabus
Introduction
- Introduction
- Estimating ROI
- Business considerations when measuring ROI
- ROI starts with problem definition
- Why estimating ROI is perceived to be challenging
- Introducing the confusion matrix
- The possible outcomes when a micro decision is made
- Estimating the overall size of the problem
- Assigning value to the four possible outcomes
- The impact of model performance on ROI
- Two other example scenarios
- Determining the cut-off on propensity scores for interventions
- A/B testing and partial rollout during the evaluation phase
- Understanding the monitoring phase
- Revisiting ROI 12 months after deployment
- Next steps
Taught by
Keith McCormick