Change management is an important concept in MDM implementation because taking a master data approach to an organization's data assets not only involves technology and process, but chiefly the people who will be implementing and using master data. Staff need to take a data-first approach to operations, meaning they rely on data, make data-driven decisions, and overall seek to derive value from the data produced by the company about itself. Depending on their familiarity and comfort with using data, high or low, it can foreshadow the change journey ahead.
Change management is a structured process for implementing new operations within organizations. The discipline is so important that it continues to attract many hours of professional study, but central to every school of thought on change management is “inclusion”. Without involving the majority, if not entirety of stakeholders, change management bogs down, invites confusion, and becomes ineffective.
One simple example of why this occurs when implementing new technology is that often new technology becomes the focus because it seemingly delivers value to data processes, and ignores the fact that people will remain the users, stewards, and support staff that will maintain the data processes. In short, the people are the purpose of the data, and the driving force of it, technology helps with this but is a tool.