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Rather than apply new words or phrases to poor data architecture concepts, learn how a data strategy should influence effective data architecture, especially for analytics
A fact qualifier matrix can identify the specific data and usage needs for data delivery. However, a successful fact qualifier matrix relies on robust data
All data lineage initiatives should be based on a set of essential steps for effective implementation and use of the metadata Implementing a data lineage
Every enterprise data / information management program contains aspects of several component areas, and each program should leverage the alignments and dependencies between these components
Every data documentation effort should identify the expected benefits, often based on the context and content While defining an approach to documenting data and the
Data governance is the cornerstone domain of the enterprise data management discipline. The functions of data governance are essential to any successful enterprise data management
Data breaches are a common occurrence in organizations of every size and industry. Information Security practices and systems can help reduce the frequency and severity of data breaches.
Data warehousing / business intelligence / analytics programs require a different approach to project management. Quick deliverables, simplified scope, and attention to rapid results are
Data governance professionals should take advantage of the variety of social media and social networking opportunities available to advance their knowledge, their programs, and their
Healthcare data can present a series of challenges not often found in other industries, sometimes based on the disparate systems and processes Data management in
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