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Data governance is the foundational component of the enterprise data management function. Data governance develops and implements data management policies and data management standards across and within the organization. Data governance best practices include alignment of metadata and data governance, data quality and data governance, and the development of a data governance strategy.
Every successful data governance program follows these seven essential guiding principles The secret for the success of a data governance program is in finding the
The Semantic Web facilitates the discovery and sharable usage of information. Data Governance and Data Stewardship programs can take advantage of this capability by implementing
Every data governance program needs a scope document to describe the extent of the program and its major activities The Merriam-Webster dictionary defines scope as
Data governance is much more than a rigid structure for ensuring data privacy. Here are six surprising things data governance initiatives can do for any
Many data governance programs fail for a variety of reasons, most of them are able to be corrected. Review this list and ensure that your
Organizations should be aware that there are some simple steps for successful data stewardship Never before has the management of data been so important to
Executive support is an essential, component of every successful program. All data governance initiatives need executive sponsorship and continued support for success At some point
Every business intelligence or analytics initiative needs to have the foundation of accurate, well-managed data that comes from a robust data governance program Many corporations
All successful data quality management programs include data governance practices, policies, and processes. Every successful data quality program is aligned with a strong data governance
The optimal approach to starting a data governance program should include building a strong business case to identify the value and benefits of a data
Having business data stewards participate in the business process modeling process can provide many benefits for data governance, business metadata gathering, and data quality improvement
Data governance can support the protection and effective use of sensitive report data, such as customer and employee data An integral part of organizational data
