Business Process Improvement Through Hidden Process Knowledge Analysis
The business process performance does not meet the specified targets? The process exhibits behavior that deviates significantly from the specifications and expectations? The previously high-performance process can no longer cope with the additional volume of business transactions? The variance in lead times brings the sweat to the brows of process managers and leads to unpleasant customer experiences? If so, it is about time to take a look at process mining.
Process mining investigates the digital traces left by business processes in the IT systems in use, and based on them reconstructs the actually existing business process in all its variants. On this foundation, valuable process knowledge is analyzed by means of multi-dimensional analyses, which allows an objective evaluation of the process and provides valuable insights for process improvement.
Process mining is an integral part of the PROMATIS service portfolio for Business Process Excellence. Our role is that of a data scientist, combining process mining expertise with profound Oracle Application and Technology know-how. In collaboration with the customer, we identify potential for improvement and derive actionable options. Our service portfolio can be outlined as follows:
- Software installation:
Services for implementing process mining as well as connecting processes
- Creation of analyses:
Creation of tables and graphical evaluations with predefined and/or individualized analyses
- Reconstruction of actual process models:
Based on the analysis results, reconstruction of business process models including documentation using BPMN or the Horus methodology.
- Interpretation of the analysis results:
Use of the analysis results to answer typical process mining-related questions. Derivation of actionable options to achieve process improvements.
- Implementation of process improvements:
Participation in the definition of improvement programs and projects. Implementation support through project management, organizational change management, and quality assurance.