Impact Measures for Strategic Decision Making
The systematic usage of impact measures proves to be a competitive advantage many firms have adopted to inform strategic decision making.
The next presentation is about inferring the causal impact that a designed market intervention has exerted on an outcome metric over time.
The approach presented takes advantage of State-Space Time-Series Modeling and a Bayesian A/B Test. The key question to address is:
How much revenue is attributable to the latest product change?
- Python: Mainly used to construct the data pipeline
- R: Structural Time-Series Modeling
- Matplotlib / Seaborn: Visualizations