Process models serve to provide complete documentation for drafts of ideal processes and give a uniform picture of a process sequence.
But does this idealized picture correspond to reality?
Business operations are ruled by unexpected events and routines which have crept in. In order to optimize and adapt processes, the consideration of reality is compulsory.
All variants of a process procedure are reconstructed and analysed with the help of Process Mining, the technology used for the analysis of big data. Pictures, patterns, facts and numbers are presented visually with the help of digital trails such as markers, time stamps or activities.
Based on real processes, problem based process steps can be identified and adapted. Risks are minimized and efficiencies increased due to absolute transparency.
Process Mining in three steps
In the first step process models are extracted and real processes identified based on data from the event log and the help of various process mining algorithms.
During conformity checks event logs (real processes) and the corresponding process models are compared and the resulting matches or differences are identified.
In the third step process models are adapted and improved based on the data from the real process. In doing this a differentiation between change and enhance is made.
Scheer Process Mining gives you a visualized process sequence with the relevant KPIs for all process steps. The transparency of business processes enables comprehensive cause analysis:
Inefficient authorization processes | Time intensive interventions in the ordering process | Unnecessary process steps
In order to keep a company’s cost structure in balance each invoice must be paid by the discount date. This requires smooth authorization processes in specialist departments.
With Scheer Process Mining all internal authorization processes are visualized and possible bottlenecks identified. A detailed cause analysis can take place through the creation of diagrams showing real procedures:
Incorrect delivery data | Manual intervention through transfer errors | Unnecessary process steps
In each company talent management begins with the search for, and the first contact with the potential employee. A smooth process can offer this talent a positive first impression. Scheer Process Mining gives you a comprehensive process overview along with the KPIs necessary for the optimization and adaptation of the talent management process:
Throughput times for process steps take too long | Incorrect roles and rights management | Time intensive and complex editing forms
The incorrect choice of strategy for the receipt of goods, order picking as well as dispatch can have wide ranging consequences such as excessively long warehousing time, long commissioning routes or MHDs that are too short. Scheer Process Mining allows you to determine real logistics processes in your company and to filter out possible bottlenecks:
Excessively long commissioning routes | Complex merchandise management | Manual data administration | Incorrect stock locations
Optimal basis for cause analysis
Acceleration of business processes
Identification of KPI´s per process section