What is Causal Process Mining?

Causal Process Mining is an approach that goes beyond the temporal order of activities to uncover the actual cause-and-effect relationships between them. Instead of inferring connections from mere sequence, it models which events genuinely trigger which others.

Why does this matter?

Classic approaches often confuse temporal proximity with causality, producing misleading process models. Causal Process Mining delivers correct relationships – essential for reliable root-cause analysis, sound decisions, and the meaningful use of AI.