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Accuracy, more than most of the other data quality characteristics, is often considered to be the foundational dimension of good data quality Accuracy is one
Every organization needs an enterprise approach to manage its data assets; every program should be based on common guiding principles Many organizations struggle to obtain
The purpose of data documentation is to collect information about the data to facilitate understanding, interpretation, transformation, use, etc. The semantics of the term “documenting”
Most data quality experts identify 16 major characteristics that affect the quality of data and information. It is important to understand their context before examining
Three fundamental principles: Severability, Accommodation, and Wholeness, form the basis of all fundamental business rules and policies. What principles in the real world (not software)
All successful business intelligence / analytics endeavors are based on a formal strategy and use a best-practices based methodology, even in agile environments. Many companies
Managing reference data is a complex and essential activity to ensure usable data for operations and decisions Managing reference data poorly can have a profound
The Zachman Framework for Enterprise Architecture classifies and organizes information that is important to management as well as for development, and includes all the artifacts
A data governance charter is a statement of intent for the organization to follow as it designs and implements its data governance program Many companies
As data management professionals advance in their career journeys, professional development should be prioritized. There are several areas that contribute to career growth and maintaining
Metadata, and its management, has had a long and winding history. Frequently overlooked, the value of metadata should never be discounted. Computer aided software engineering
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