prosessilouhinta

Prosessilouhinta, also known as process mining, is a discipline that discovers, monitors, and improves real processes by extracting knowledge from event logs readily available in today's information systems. It applies techniques from the field of artificial intelligence and data science to analyze event data. Event logs are records of business activities that are automatically generated by IT systems, such as enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, and workflow management systems. Each event in the log typically contains information about the activity that occurred, the case to which the activity belongs, and a timestamp.

The core idea of process mining is to reconstruct the actual process flow by analyzing these event logs. This allows organizations to understand how their processes are actually executed, rather than how they are perceived or documented. By visualizing the process, companies can identify bottlenecks, deviations from the intended process, and areas for improvement. This can lead to increased efficiency, reduced costs, and enhanced customer satisfaction.

There are several types of process mining techniques. Discovery techniques aim to create a process model based solely on the event log. Conformance checking techniques compare an existing process model with an event log to identify deviations. Enhancement techniques use event logs to extend or improve an existing process model, for example, by adding performance information. Process mining has applications in various industries, including finance, healthcare, manufacturing, and telecommunications, helping organizations gain deeper insights into their operational performance.