What is Process Mining?
Process mining is a data-driven technique used to analyze, visualize, and improve business processes by extracting information from event logs recorded in IT systems. Process mining applies specialized algorithms to event log data to identify trends, patterns, and the actual flow of work within an organization. It bridges data science and process management, providing an objective view of how processes actually operate.
How it works
IT systems such as ERP or CRM tools generate event logs containing case IDs, activities, timestamps and other metadata. Process mining tools analyze these logs to reconstruct real end‑to‑end processes, discover bottlenecks, inefficiencies, and deviations from the intended workflow. The result is a visual process model that shows how operations actually run, enabling data‑driven optimization.
However, the scope of what a process mining tool supports and how comprehensively it analyzes the data depends on its technology. There is a significant difference between case-centric process mining (CCPM) and object-centric process mining (OCPM).