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ERP Logs and Its Use for Process Mining Student Learning Purposes

DOLÁK, Radim, Tomáš BARČÁK and Michal HALAŠKA

Basic information

Original name

ERP Logs and Its Use for Process Mining Student Learning Purposes

Edition

Cham, Innovative Technologies and Learning. ICITL 2024, p. 185–192, 8 pp. 2024

Publisher

Springer

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

Germany

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

Organization unit

School of Business Administration in Karvina

ISBN

978-3-031-65881-5

Keywords in English

ERP logs; Process Mining; learning purposes

Tags

International impact, Reviewed
Changed: 7/3/2025 13:00, Ing. Radim Dolák, Ph.D.

Abstract

V originále

This paper deals with the possibility of using ERP logs for Process mining student learning purposes. The basic idea is that event logs from ERP systems are essential for Process Mining, as they provide the data necessary to gain insights into business processes. The availability of data in the form of event logs is crucial for the application of Process Mining techniques, enabling the discovery and analysis of business processes. Process Mining has been applied to manufacturing or logistic processes, with a focus on extraction, correlation, and abstraction of event data. Process Mining techniques offer valuable opportunities for organizations to analyze, monitor, and improve their real processes. However, challenges exist in extracting event logs from ERP systems, as the concept of business activity may be missing, making it difficult to use different tools on the same dataset. As part of this contribution, literature research in the given area will be carried out first and then a case study from the teaching will be presented.