Master data management as part of data governance: A maturity model to improve efficiency and trust in master data and thus business performance

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Abstract

An optimized master data management correlates with improved data quality, enhanced process integration and increased business agility, leading to overall better business performance. This study proposes a maturity model for structured master data management improvement that has emerged from analysing previous maturity model research, data governance, master data management and the practical experience of the researcher. The model comprises six maturity levels for eight design levels with 23 assessment factors, which are framed by six organizational factors. It extends previous maturity models by expanding organizational dimensions and considering the measurement of success across all design levels. The results serve the purpose of creating an artifact for measuring the success of master data management that is informed by data governance experience.

Keywords: Master Data, Master Data Management, Data Governance, Maturity Assessment

Authors’ individual contribution: The Author is responsible for all the contributions to the paper according to CRediT (Contributor Roles Taxonomy) standards.

Declaration of conflicting interests: The Author declares that there is no conflict of interest.

JEL Classification: C80

Received: 08.07.2024
Accepted: 08.11.2024
Published online: 12.11.2024

How to cite this paper: Schmuck, M. (2024). Master data management as part of data governance: A maturity model to improve efficiency and trust in master data and thus business performance. Business Performance Review, 2(2), 20–34. https://doi.org/10.22495/bprv2i2p2