Collect digital traces in IT systems
Corporate processes are often confusing and complex.
Errors, inefficiencies or process loops can creep in, resulting in lost time, rising costs or loss of quality and ultimately dissatisfied customers. Process mining specifically involves collecting and storing process data based on digital traces in IT systems and translating it into a model of the real process.
In this way, undocumented process flows can be quickly documented and documented process flows can in turn be compared with reality. Process mining thus offers itself well as a data-driven alternative or complement to interviews, multi-moment surveys, and manual data analysis in consulting projects.
The results can now be used to optimize processes or train employees in the use of the documented processes. Unlike process KPIs, which may indicate that, for example, the optimal lead time has not been achieved and how high the deviation is, process mining can find and eliminate the cause of the deviation.