Data quality refers to the tools and processes that result in the creation of correct, complete and valid data that is required to support sound decision-making.


CommentaryThe current premise is that the more data an organization can access and analyze, the greater the insights that can be acted upon – so focus on data, data and more data. This approach loses sight of “NO” Data ...
Industry EventsData Modeling Zone 2013 contains many sessions from fundamental through advanced levels, so you can better capture and communicate data requirements, leading to more successful and sustainable solutions.
BlogCritical topics for data quality practitioners, emphasizing the need to take action
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