A Data Quality Primer: Using Data Quality Tools and Techniques to Improve Business Value
sponsored by Melissa Data Corp

As the use of business intelligence (BI) tools has increased among today’s organizations, data quality has been thrust into the spotlight. Business executives want BI to foster better decision-making, but low quality data will transcend to poor judgments.

In order to avoid this pitfall, forward-thinking companies are implementing data quality management programs and gaining peace of mind that the information they use to measure and evaluate corporate performance is accurate.

So what makes up a sound data quality management program? This e-book explores the various components of a solid program and explains the 5 key aspects of a data quality management strategy.

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