Process Mining is an analytical method of process analytics which re-engineers the real process flow out of your operative data sources (ERP, CRM, etc.).
Efficient processes, process transparency and risk identification are the key factors for a successful organisation. Deviations of the actual processes from the target processes can only be vaguely localised and quantified with conventional methods. The result: concrete weaknesses and bottlenecks in the processes remain unclear, work is often done on the wrong friction points, opportunities to improve performance are not used.
Consistent visualisation and animation of selected business processes on all work levels
Target / actual comparison and benchmarking of processes at employee level – for example, different locations or periods
Number-based identification of risks and weaknesses in common and also exotic processes.
Analysis of process performance as well as detection of unnecessary waiting times, duplication of work and blindly ending processes
Systematic identification and evaluation of cost drivers in process chains
