Metrics and the measurements they create are essential to the success of every data governance program and every data stewardship effort. Organizations that implement any
Metadata management is one of the foundational components of an enterprise data management initiative. Many organizations struggle with its incorporation into their data management processes.
Standards are different from guidelines. Standards are firm and must be followed. Successful data warehouses use standards Introduction Many dog owners give their dogs what
Master data management continues to be plagued by poor data quality, costing many organizations time, money, lost customers, lost reputation and inefficiencies. Introduction In several
Metadata management is one of the foundational components of an enterprise data management initiative. Many organizations struggle with its incorporation into their data management processes.
Logical and physical data modeling are essential components of every organization’s enterprise data architecture and should form the foundation of every database design. Standard techniques
Abstraction is a powerful design tactic for creating flexible, robust and scalable data warehouse data models Introduction I remember meandering through the large galleries of
Every organization needs a set of foundational policies to manage the basic operations of data governance. Policies are different from guiding principles Introduction Every organization
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