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Data Governance vs Data Management

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Data governance is a decision making, monitoring and enforcement body that has authority over data management.
Data management is the control of data architecture, quality, security, policy, practices and procedures.

Data Governance vs Data Management

Data governance is deciding what to do about data and following up to make sure it's done. Data management is the implementation of architectures, processes, tools and policies that achieve data governance goals.
Data is surprisingly political. It is common for various groups to create and defend data repositories that all conflict with each other in a variety of ways. This can become a significant operational inefficiency and risk that requires authority at the executive level to resolve. This is the job of data governance. If you have 40 different repositories with customer data and you want to create a master data repository, there are potentially unpopular decisions that have to be made.
Data management takes the decisions of data governance and implements them with processes, technologies, controls and one time efforts such as data migrations.
Data Governance vs Data Management
Data Governance
Data Management
A decision making, monitoring and enforcement body that has authority over an organization's data management.
The control of data architecture, quality, security, policy, practices and procedures.


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