A Metrics-Driven Framework for Reliable Master Data

Abstract

Master Data Management (MDM) provides a way for organizations to effectively manage and share their core data. However, many MDM initiatives fail due to poor data quality. This paper proposes a practical framework designed to improve the development of MDM projects by focusing on data quality. Structured into five stages, the framework guides organizations through the implementation process in a logical order.  In order to validate those guidelines, we conducted a study by applying with and without framework, the hospital significantly reduced medication errors and ensured safer patient transitions between care units. Beyond just healthcare, the framework gives organizations a clear way to bring business and IT goals together, improve transparency, and make MDM projects easier to plan and carry out.