Process mining
Process mining examines workflows recorded in event logs. Case identifiers, activities and timestamps provide the basis for analysis.
Tracing workflows through event logs
Process mining examines business processes using recorded events. A case identifier links events belonging to the same case; activity names and timestamps make the recorded sequence traceable. These can support investigations into process variants or possible waiting points, for example. A table containing only today's case status is not sufficient. Which process steps become visible depends on the coverage and meaning of the available event data.
In a fictional quotation process, case Q-72 contains the events “draft saved”, “approval requested” and “approval recorded”. A planned analysis could compare the paths quotations take to approval and where longer time gaps occur. The gap between a request and recorded approval alone proves neither active working time nor the cause of a delay. Missing events or transfer timestamps mistakenly used as event timestamps would distort the picture. Before drawing conclusions, the actual business and temporal meaning of each entry would need clarification.
Sources
Related terms
- Business process automationBusiness process automation connects recurring steps with rules, responsibilities and defined ways to handle exceptions.
- Robotic process automationRPA uses software to perform recurring application steps, often through user interfaces. Clear rules and verifiable outcomes matter.
- Data driftA change in the distribution of model inputs relative to an explicitly chosen reference.
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