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The virtual world is a reality. Data management professionals must embrace this next normal, while re-evaluating how they approach establishing and maintaining professional relationships. Virtual
Determining “accuracy” is not always an easy task, and not all data lends itself to discovering a single value for data quality accuracy Several recent
Successful re-architecture of data warehousing / business intelligence / analytics environments pose business challenges in addition to information technology issues Many large corporations across a
Accuracy is not the only measurement that can or should determine quality for an organization’s data. Data can be accurate in one context and inaccurate
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
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