Process mining is an area that got an attention recently, identified as a hot area in digital transformation space. On Wikipedia, process mining is a family of techniques in the field of process management that support the analysis of business processes based on event logs. During process mining, specialized data mining algorithms are applied to event log data to identify trends, patterns and details contained in event logs recorded by an information system. Process mining aims to improve process efficiency and understanding of processes. It is critical to understand processes because as-is processes usually differ from the desired ones, and companies need to have data-driven evidence to fix for improving their processes.
In other words, process mining helps you to visualize your real business processes and compare it with your plan and the theory. After that, getting the possibility to do actions on the insights you collected.
Process mining brings four critical aspects to the table:
- Objectivity: staying objective and not subjective about what you should do. A business needs to understand what the real challenges are their business is facing.
- Direction: Every business must prioritize what to do and know the direction they should take. You will see 1000 things on your base line you need to address. But what to start first?
- Complete: process mining can analyze all the recorded processes data including exceptions and unknown variations, from various systems you currently have in place.
- Fast: the power of process mining is in its automation. Being able to do the full analysis in a fully automated way and repeated at every desired moment.
In summary
Process mining helps you to view your processes as if on an x-ray, discover how it works, and find out what is happening behind the scenes to spot the bottlenecks and issues.
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