What is the primary function of process mining?

The primary function of process mining is to discover patterns and bottlenecks in your processes. This methodology utilizes data from various IT systems to visualize and analyze workflows, giving organizations insights into how their processes operate in practice as opposed to how they are intended to operate. By examining the actual data and event logs generated during process execution, organizations can identify inefficiencies, repetitive tasks, and areas for improvement. This analytical approach enables teams to make data-driven decisions, optimize operations, and enhance overall performance, leading to more efficient resource allocation and better outcomes.

While other choices touch upon different aspects of business processes, they don't encapsulate the main focus of process mining as effectively as identifying process patterns and bottlenecks does. For example, distilling manual business processes into KPIs is a function of performance management rather than the core of process mining. Similarly, uncovering datasets from IT systems is more about data retrieval than analyzing the actual workflows. Hence, focusing on discovering patterns and bottlenecks accurately reflects the essence of process mining.