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

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.