Causal Analytics: Testing, Targeting, and Tweaking to Improve Outcomes
Jason Pieratt, Edmund Berry · 2015
Causal Analytics is the business application of statistical methods that are used for modeling causal relationships between inputs, interventions, and outcomes. Three areas of Causal Analytics are introduced in this paper: “testing” whether outcomes change because of an intervention; “targeting” interventions to have the greatest improvement in outcomes; and “tweaking” an intervention to control system outcomes.