Data strategy motivated by causal methods This post summarizes the final third of my talk at Data Science Salon NYC in June 2023. Please see the talk details for more content. Techniques of observational causal inference are becoming increasingly popular in industry as a complement to experimentation. Causal methods offer the promise of accelerating measurement agendas and facilitating the estimation of previously un-measurable targets by allowing analysts to extract causal insights from “f...
