Articles tagged with Development
In this post, Margarita and Martin Huber explain why understanding the causal impact of particular business activities like marketing campaigns or pricing policies is necessary when making decisions about the appropriate design of those actions.
Causal data science methods are currently experiencing growing adoption in industry. In spring 2020, we conducted a global survey of data science practitioners to explore the use of causal data science methods in business practice.
Posted March 1, 2021 by Carla Schmitt ‐ 6 min read
Causal inference tools can be challenging for practitioners to adopt because they require an entirely new approach to data science. This post describes some of the cultural and organizational challenges that come with this new paradigm.
Posted February 1, 2021 by Paul Hünermund ‐ 4 min read