What is Process Mining?
Turkish: Süreç Madenciliği
Process mining analyzes ERP, CRM, and workflow logs to reveal real process paths, bottlenecks, rework, and deviations from the intended flow.
What is Process Mining?
Process mining analyzes system records to show how business processes actually run. Instead of relying on the ideal process written in a document, it reads event logs from ERP, CRM, ticketing, accounting, or workflow systems.
An event log usually contains a case ID, activity name, timestamp, and resource. For example, the steps “created, approved, invoiced, shipped” can be tracked under the same order case. From this data, teams can derive process maps, waiting times, rework rates, and deviations from the standard flow.
Common Uses
- Discovery: Automatically maps the current process.
- Conformance checking: Compares the real flow with the target process model.
- Enhancement: Exposes bottlenecks, delays, and unnecessary approval points.
Business Use
Process mining is useful in multi-step operations such as procure-to-pay, order-to-cash, support tickets, and returns. The critical requirement is data quality: if event names are inconsistent, timestamps are missing, or case IDs are unclear, the analysis can be misleading.
BPM covers the process management side, BPMN covers modeling, and Big Data becomes relevant when event logs are large enough to need distributed processing.