Action | Process Mining: Data Science In

: Comparing existing process models with actual event data to identify deviations, bottlenecks, or compliance issues.

: Using data to improve or extend an existing model, such as adding time stamps to predict delays or identifying social networks of resources. Key Takeaways & Learning Path Process Mining: Data Science in Action

: Automatically learning a process model from raw event data (e.g., using the Alpha-algorithm or Inductive Miner). : Comparing existing process models with actual event

Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, Wil van der Aalst Data Science in Action Second Edition Process Mining: Data Science in Action