Selecting the Right Individual Actions via Uplift Modeling in Dataiku DSS

24.03. | 10:15 - 10:45 | data.stage

In Telecommunications as in most of the other industries, it is important to keep customers happy. In order to achieve this, it is very important to contact them with the right individual actions (offer, information, etc.) as well as not to contact them with the wrong ones. Uplift modeling is a technique that can be used to determine which customer should be contacted with which action by predicting the individual causal effect. Based on the open “Criteo Uplift Modeling Dataset” we demonstrate how uplift modeling can be performed with the help of Dataiku DSS.

Vincent Rijnbeek (AI Strategy Specialist | Dataiku)
Dr. Björn Hofer (Manager Advanced Analytics & Data Science | Telefónica Deutschland)