Populating a Data Quality Scorecard with Relevant Metrics
sponsored by SAS

Assessing the quality of your data is, of course, the first step to assuring the quality of your data. But too often this step is overlooked or mismanaged. Using a data quality scorecard is a step in the right direction, but even then, if the metrics chosen aren't the right fit or aren't aligned with your business's goals, the scorecard is all but useless.

In this white paper, discover the major considerations that should go into developing metrics for a data quality scorecard. See how ideas about data metrics might vary across internal departments, and may be reoriented according to concerns about business process, impact, and pure data considerations.

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