Process Mining
Process mining is a data-driven methodology that uses event logs from information systems to discover, monitor, and improve real business processes. It bridges the gap between traditional model-based process analysis and data-centric analysis techniques by extracting knowledge from event logs to create visual process models. This approach helps organizations understand how processes actually operate, identify bottlenecks, deviations, and inefficiencies.
Developers should learn process mining when working on business process management, workflow automation, or enterprise software optimization projects, as it provides empirical insights into system usage and process compliance. It's particularly valuable for auditing, compliance monitoring, and digital transformation initiatives where understanding actual vs. designed processes is critical. Use cases include analyzing customer journey paths, optimizing supply chain operations, and improving IT service management workflows.