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.

BlogMaybe the data governance message is similar to a sound only dogs can hear
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FeatureMaintaining the quality of your enterprise’s data starts with preventing bad data in the first place and it requires tools, business processes and people
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ReportA new study analyzes errors related to “default values” which are standardized medication order sets in electronic health records and computerized physician order entry systems
BlogIn theory, a metadata dictionary is a trusted authority for all your data questions, but can it deliver on that promise?
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blogData quality is a journey, not a destination
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