"SAP ERP的流程挖掘中事件数据提取方法的研究"
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更新于2024-02-02
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An Event Data Extraction Approach from SAP ERP for Process Mining is a significant paper focusing on the challenges of extracting event logs from ERP systems such as SAP for the purpose of process mining. This paper highlights the complexities and costs associated with the extraction, transformation, and loading of event logs from ERP systems, especially SAP, due to the size and structure of the data. The authors point out the scarcity of open-source support for ETL, as well as the limited number of commercial process mining vendors that offer connectors to ERP systems.
The abstract of the paper provides an overview of the challenges and issues related to event data extraction from SAP ERP for process mining. The authors emphasize the significance of this first and most expensive step in process mining, as well as the obstacles presented by popular ERP systems like SAP. They also stress the importance of finding effective solutions for extracting event logs from SAP ERP to facilitate process mining.
In conclusion, this paper sheds light on the complexities and challenges involved in extracting event data from SAP ERP for process mining, and highlights the need for innovative and efficient approaches to address these challenges. The findings and insights presented in this paper can serve as a valuable resource for researchers, practitioners, and organizations seeking to leverage process mining for improved business insights and performance.
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