You have “Big Data”, and – you not just want to predict events in your data – you need to understand WHY things happen. Then look at our “gray hair and glasses” video: You will learn why gray hair and glasses are correlated but none of the two causes the other. You thereby understand the difference between correlation and causation, and why “intelligent interventions” requires more than “predictive models”.

If you want to know more about Causal Discovery ask for our white paper or contact us!