SubscribeThe Yin and Yang of Data Governance and MDM
Posted in Data Integration, Data Quality, Enterprise Data Management by Judy Ko | |
I recently participated in two DMRadio shows that were aired within a week of each other—the first show focused on MDM, the second on data governance. Not surprisingly, the topics overlapped tremendously. In fact, during the MDM show, I found myself talking primarily about the need to establish a data governance program to ensure the organizational and process alignment necessary for successful MDM deployments. And on the data governance show, part of the conversation centered on MDM being a very common driver behind the launch of data governance programs.
While they are two separate concepts, they are closely linked. MDM is the more concrete of the two: technology is implemented, data is cleansed, reconciled and shared, and there is a direct impact on business processes. In other words, MDM is the yang. Data governance can seem more abstract, focusing on aligning process and people to ensure an organization is maximizing the value of its data. Data governance is the yin. In accordance with the principle of balancing yin and yang, MDM and data governance each bring something to the table, and they are each improved by the other. Dave Waddington from the Information Difference also comments on this interrelationship in this recent posting on their data governance survey.
If you are contemplating one without the other, perhaps it’s time to meditate a bit on the value of the two together.
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