Process mining is a data science technique that enables organizations to improve their business processes. At the core of Process Mining lies the concept of event logs, which are repositories of data containing all the events that take place within an organization during the execution of its processes. Event logs can be obtained through various mechanisms, such as computerized systems, paper-based records, or even manual data entry.
The primary goal of Process Mining is to uncover insights and trends within these event logs, which can be used to optimize business processes, lower costs, and enhance efficiency. By analyzing the event logs, organizations can locate bottlenecks, deviations from optimal paths, and areas where manual intervention is required. This information can then be used to develop strategies for process optimization an waste reduction improvement, which can lead to improved operational performance and increased competitiveness.
