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Effective data governance starts with a vision, and that vision must be at the enterprise level and commonly understood and communicated. At the highest level,
Every organization needs to understand the industry best and proven practices concerning the various roles in data stewardship to ensure an effective enterprise program Data
Persuading executives, managers, and other leaders about the need for data management and its components is as important as the best practices themselves. Data Management
If information should be treated as a product, then it should be managed accordingly. All information should be assigned to a product manager. Information should
Is there a connection with Artificial Intelligence / Machine Learning and Data Governance? Of course, since without well-governed and accurate data, there is no possibility
To enable information quality in any environment, it is essential to identify the collectors, consumers, and custodians of each item of information and define their
Data governance has 10 key components that exist to meet the enterprise’s data management requirements. All are essential to success Data governance is the foundation
Having an organizational understanding of the essential data used across the enterprise, through the development of a Subject Area Model and a foundational Conceptual Data
So many organizations do not have a basic component for success in the information age: an enterprise data strategy. The risks of not having and
Although data strategy involves many best practices, some aspects to the conventional wisdom may be more effective in real life Most data management professionals have
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