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.


BlogWhile becoming data-driven is a laudable goal, be wary of becoming too driven by data.
BlogKey takeaways from the new Forrester Wave about Data Governance Tools
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Analytics in HealthcareMaking sense of the tide of health data inundating the U.S. healthcare community remains a daunting challenge for driving clinical and financial performance.
CommentaryFinding the right data and matching it to the right decisions is a fundamental necessity, and thinking three decisions ahead will set you and your company apart
BlogPitney Bowes has made investments in software that can help companies change their business processes by optimizing their information assets
BlogAs we watch and see if fitness data proves fit for the purpose of its many potential uses, we should keep a close eye on not only data accuracy, but also data privacy
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
BlogData quality has a rotating frame of reference that can not be ignored
BlogWe often emphsize how data is supplied, but how it performs in it's consumed state is fogotten
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