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Authors: Simon Vetter 1 ; Annika Zettl 1 ; Markus Mützel 2 and Omid Tafreschi 3

Affiliations: 1 Evonik Operations GmbH, Darmstadt, Germany ; 2 Evonik Industries AG, Hanau, Germany ; 3 Darmstadt University of Applied Sciences, Darmstadt, Germany

Keyword(s): Master Data Quality, Process Quality, Process Mining, Validation Rules.

Abstract: The interplay between master data quality and process quality is well-recognized across industries, yet quantifying this relationship is complex. This paper introduces a methodology for analyzing this relationship within a business context, thereby utilizing quantitative data to enhance decision-making processes. We developed a practical approach to establish metrics for measuring master data and process quality, serving as a guideline for other businesses. Central to our methodology is the application of linear regression analysis to understand the dynamics and interplay between these two factors. To validate our approach, we implemented it in a major European-based chemical enterprise with global operations, demonstrating its effectiveness and applicability in a real-world setting.

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Paper citation in several formats:
Vetter, S.; Zettl, A.; Mützel, M. and Tafreschi, O. (2024). Quantitative Analysis of the Relationship Between Master Data Quality and Process Quality. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7; ISSN 2184-4992, SciTePress, pages 50-60. DOI: 10.5220/0012548200003690

@conference{iceis24,
author={Simon Vetter. and Annika Zettl. and Markus Mützel. and Omid Tafreschi.},
title={Quantitative Analysis of the Relationship Between Master Data Quality and Process Quality},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={50-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012548200003690},
isbn={978-989-758-692-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Quantitative Analysis of the Relationship Between Master Data Quality and Process Quality
SN - 978-989-758-692-7
IS - 2184-4992
AU - Vetter, S.
AU - Zettl, A.
AU - Mützel, M.
AU - Tafreschi, O.
PY - 2024
SP - 50
EP - 60
DO - 10.5220/0012548200003690
PB - SciTePress

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