Process mining represents a set of techniques that are used for analyzing and tracking processes that helps businesses make faster, more informed decisions for process improvement through data-driven insights.
It is based on combining data mining and process analytics in order to mine log data from their information systems to understand the performance of their processes, revealing bottlenecks and other areas of improvement. The logs make visible how computer-mediated work is really happening, including who did it, how long it takes, and how it departs from the average. Process analytics create key performance indicators for the process, which enables a company to analyse how business actually functions and to focus on the priority steps to improve.
The main goal of process mining is to turn event data into insights and actions.
So, when people (or even robots) work with different IT systems, system captures their activities and creates complete view on how the things are getting done. It vizualizes the end-to-end process and reveals eventual improvements.