ProMiConE

Initial situation

The process mining technology enables companies to perform data-based analysis and derived optimization of business processes. However, the application of process mining is very time-consuming and expensive for small and medium-sized enterprises (SMEs). This is mainly due to the time-consuming and thus resource-intensive data preparation and analysis, for which expensive specialized personnel are required. In this respect, most SMEs lack expertise in the area of data preparation and the definition of suitable process mining use cases. 

Solution approach

The following steps are planned to achieve the goal:

• Requirements analysis for process mining
• Transaction-oriented process model of order processing
• Identification of process mining use cases
• Reference data model of order processing for process mining applications
• Development of an extractor for object-centric event logs
• Validation of the results in the company

Expected result

This project aims to simplify the applicability of process mining technology for companies. The project will identify use cases for the application of process mining in order processing and develop a reference data model for order processing and an extractor for object-centric event logs.

Benefits for the target group

The Process Mining Connector for ERP systems in the form of the developed reference data model, the extractor and the underlying process mining use cases enables SMEs to get started economically and quickly with the analysis of order processing business processes. This allows SMEs to realize the potential of data-based process optimization of order processing through process mining.