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.


ColumnWe must recognize the issue of data credibility as yet another dimension of data quality and take steps to address it
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BlogScale now forces us to rethink what we govern, how we govern, and yes, if we govern.
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ColumnThere are many mathematical tools and levers that one can pull when comparing two pieces of data, but understanding how and when to pull those levers is the art of the procedure.
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BlogComments on the rekindled data quality debate between real-world alignment and fitness for the purpose of use
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