Process mining is a set of techniques used for obtaining knowledge of and extracting insights from processes by analysing the event data generated during the execution of the process. The end goal of process mining is to discover, model, monitor, and optimize the underlying processes. Process mining applies data science to discover, validate and improve workflows. By combining data mining and process analytics, organisations can mine log data from their information systems to understand the performance of their processes, revealing bottlenecks and other areas of improvement.