What is Process Mining? 

Process mining is an emerging data science field within business process management that uses an organization’s transactional digital footprints to examine their business processes and discover process challenges. Using the metaphor of an x-ray, process mining is an x-ray of business processes as they are exposed through data stored in a variety of digital systems. Process mining intelligent algorithms use this data to monitor process performance of business processes.

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Process mining is a powerful solution that supports you with in-depth analysis, discovery, monitoring, and enhancement of your business processes. It allows you to capture process data and quickly analyze it, providing a comprehensive understanding of how your business runs. Process mining works by extracting knowledge from event logs readily available in today’s information systems.Thanks to that, you can identify areas where your processes are hindering progress and uncover opportunities for improvement. Armed with this knowledge, you can design, implement and control more efficient processes with greater agility. 

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It acts as an intersection between data mining and business process management.

As Gartner describes Process Mining,  

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"Process mining tools are designed to discover, monitor and improve processes by extracting knowledge from events captured in information systems to continuously deliver visibility and insights.  

Process mining includes automated process discovery (i.e., extracting process models from an event log), conformance checking (i.e., monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction, and history-based recommendations." 

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Marc Kerremans, Samantha Searle, Tushar Srivastava, and Kimihiko Iijima (Published 20 March 2023 - ID G00774746)