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.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
