Interactive Extractor from SAP ERP
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
Summary
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.