MD3M: The Master Data Management Maturity Model

Publication date

2015

Authors

Spruit, MarcoISNI 0000000077172004
Pietzka, Katharina

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

This research aims to assess the master data maturity of an organization. It is based on thorough literature study to derive the main concepts and best practices in master data maturity assessment. A maturity matrix relating 13 focus areas and 65 capabilities was designed and validated. Furthermore, an assessment questionnaire was developed which can be used to assess the master data management maturity. Emphasis is laid on the academic validity of the model development process. Our extensive case study provides an example of iterative human learning, behavior and collaboration resulting from technological needs in a large-scale infrastructural network. Concludingly, this research uncovers reasons and incentives for prudent master data management and provides a benchmarking tool with which different organizations can compare their levels.

Keywords

Master data management, Maturity assessment, Information management, Taverne

Citation

Spruit, M & Pietzka, K 2015, 'MD3M: The Master Data Management Maturity Model', Computers in Human Behavior, vol. 51, no. Pt. B, pp. 1068–1076. https://doi.org/10.1016/j.chb.2014.09.030