Interactive Extractor from SAP ERP



Alessandro Berti

Software Engineer


+49 241 80 21949



Interactive Extractor from SAP ERP

Student: Julian Weber

Title: Interactive Extractor from SAP ERP

Supervisor: Alessandro Berti

1st Examiner: Prof. Wil M.P. van der Aalst

2nd Examiner: Prof. Dr. Ulrik Schroeder


SAP ERP is one of the most popular information systems supporting various organizational processes. However, extracting an event log for process mining purposes requires complicated and customized queries for each process. Data entries needed for the event log extraction are spread over multiple tables. These need to be connected to enable the generation of event logs. Understanding the connections between these tables is hard. This master thesis proposes a method that transforms the available SAP metadata structure into a labeled property graph. This enables the user to comprehend the relational structure of the underlying SAP system. Based on the proposed method an extractor of event data from SAP that automates the generation of event logs is developed. The extractor’s output is an object-centric event log for the target process. This contributes to mitigate the well-known problems of convergence and divergence, which afflict event logs extracted from SAP ERP.