During an analysis in business process management, the process and the individual process steps (activities, idle time) are examined in detail. The subject of these analyses can be performance characteristics, such as cycle times or costs, as well as responsibilities, or the compliance of the process. The result is detailed information on process performance. For example, weak points or bottlenecks are identified so that optimization potential in the process becomes visible.
Why are analyses so important?
Analyses are important because they identify patterns from data. This makes it possible to deduce what is happening in the processes and IT systems. Among other things, it is checked how and whether the users adhere to the specified processes. These findings are particularly important for checking conformity and compliance with rules. In addition, optimization potentials such as bottlenecks or duplicate process steps are uncovered. This could, for example, be an unscheduled double check of a document. During the analysis of a process, such duplicate work is often not noticeable, since the check is carried out by different people, for example. The analysis results can improve the process and shorten its cycle time, thus reducing costs.
What is done and taken into account in the analyses?
What happens during analyses is essentially always the same. However, which key figures are examined more closely depends on the objective of the analysis. In a performance analysis, for example, the focus is on the cycle times and or the costs caused by the process or the individual activities in the process. Process Mining also makes it possible to automatically derive the causes of optimization potential. Among other things, these are presented in the form of rules that reflect the relationships between significant attributes and process weaknesses. Such a rule describes, for example, that a process deviation always occurs when the purchase value exceeds €10,000.
An analysis in Process Mining usually proceeds as follows:
1 – Process data or system data are extracted from the IT system (event logs) or recorded.
2 – Transforming the data into a uniform format
3 – Importing the data into the analysis tool
4 – Review of the data in the tool or manual data review
5 – Automatic or manual derivation of optimization potentials
6 – Finding out the causes of optimization potentials
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