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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?


Technologies
  • Python: Mainly used to construct the data pipeline
  • R: Structural Time-Series Modeling
  • Matplotlib / Seaborn: Visualizations
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Pablo Felgueres


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