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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
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
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