Data quality management plays a critical role in all kinds of organizations. Data is one of the most important criteria for strategic business decisions within organizations and the foundation for the execution of business processes. For the assessment of a company’s data quality, to ensure the process execution and to monitor the effectiveness of data quality initiatives, data quality has to be measured in the same way over a certain period of time. This can be achieved by implementing a measurement system. By now, the implementation of such a system to measure data quality is realized in very few organizations. This paper presents a case study describing the implementation process of a Master Data Quality Cockpit as well as the system used for measuring. The study assesses organizational, process-related, and system level changes as well as success factors necessary to implement such a tool.
Otto, Boris; Ebner, Verena; and Hüner, Kai M., "Measuring Master Data Quality: Findings from a Case Study" (2010). AMCIS 2010 Proceedings. 454.