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  4. An Event Data Extraction Approach from SAP ERP for Process Mining
 
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2022
Conference Paper
Title

An Event Data Extraction Approach from SAP ERP for Process Mining

Abstract
The extraction, transformation, and loading of event logs from information systems is the first and the most expensive step in process mining. In particular, extracting event logs from popular ERP systems such as SAP poses major challenges, given the size and the structure of the data. Open-source support for ETL is scarce, while commercial process mining vendors maintain connectors to ERP systems supporting ETL of a limited number of business processes in an ad-hoc manner. In this paper, we propose an approach to facilitate event data extraction from SAP ERP systems. In the proposed approach, we store event data in the format of object-centric event logs that efficiently describe executions of business processes supported by ERP systems. To evaluate the feasibility of the proposed approach, we have developed a tool implementing it and conducted case studies with a real-life SAP ERP system.
Author(s)
Berti, Alessandro
Rheinisch-Westfälische Technische Hochschule Aachen  
Park, G.
Rheinisch-Westfälische Technische Hochschule Aachen
Rafiei, M.
Rheinisch-Westfälische Technische Hochschule Aachen
Aalst, Wil van der
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Mainwork
Process Mining Workshops 2021  
Conference
International Conference on Process Mining 2021  
International Workshop in Leveraging Machine Learning for Process Mining 2021  
Open Access
DOI
10.1007/978-3-030-98581-3_19
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • ETL

  • Object-Centric Event Logs

  • Process Mining

  • SAP

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