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.