Process Mining is a methodology that enables processes to be monitored and optimized systematically and on the basis of data. This is done by evaluating so-called event logs which contain data on the actual sequence of process steps as well as the time intervals between individual steps.
The objective of Process Mining essentially comprises two aspects:
In principle, Process Mining can be applied to any kind of process. The central prerequisite is the availability of event logs that can be extracted from Enterprise Information Systems (EIS) or Enterprise Resource Planning Systems (ERP).
Process Mining is therefore purely data-based and thus offers the possibility of objective and fact-based knowledge gain. The knowledge gained then forms the basis for the continuous monitoring of process compliance and the systematic optimization of process performance.
If you consider how the complexity of processes increases with the growing number of process steps, variants, and people involved in different departments, it becomes clear that each of the people involved only ever sees a part of the whole. In this context, inefficiency is often only measured by the output of the overall process, but it is difficult to estimate where in the process it really exists. Inefficiencies may only creep in over time, as new requirements from clients, products and markets create process exceptions that then become the rule after a certain time.
In order to be competitive in today’s market environment, companies must establish processes that offer a certain degree of flexibility to respond to new requirements and are both efficient and compliant. The prerequisite for this is a comprehensive understanding of their own processes and procedures. Process Mining helps, for example, to find answers to the following questions:
- Which clients should be served on a priority basis based on their payment behavior?
- Which people do not follow the purchasing process?
- Which suppliers have the best delivery times to be able to keep their own delivery promises?
- Which production line generates the most manual corrections?
In this sense, Process Mining helps to ensure continuous “Process Performance Hygiene” in order to detect process deviations and inefficiencies as quickly as possible. In this way, efficiency and compliance can be sustainably controlled and improved.