Learn how to tackle the two co-dependent disciplines of master data management and data governance in this e-book.
Today, master data management (MDM) and data governance are considered co-dependent disciplines – that is, an organization won’t be successful in implementing one without also focusing on the other. Data governance is also considered the “business function” of MDM, controlling how organizational data is created, collected, and used.
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The process of reconciling conflicts in your organization’s data sources and elements can be demanding, but this initial and incremental data governance process reinforces the need to right-size the initial scope of both the MDM and data governance initiatives to the most crucial data elements and domains. By managing the scope of both efforts to these deliverables, the business can more easily “own” those governance processes to deliver ongoing value – so your data governance and MDM projects aren’t just perceived as simply IT overhead.
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