Data quality encompasses more than finding and fixing missing or inaccurate data. It means delivering comprehensive, consistent, relevant, and timely data to the business regardless of its application, use, or origin.
Data quality encompasses more than finding and fixing missing or inaccurate data. It means delivering comprehensive, consistent, relevant, and timely data to the business regardless of its application, use, or origin.
Ensuring data quality is a challenge for most organizations—partly because they may not be fully aware of their own data quality levels. Without this information, they cannot know the full business impact of poor or unknown data quality—or how to begin addressing it. This white paper outlines the questions your organization should be asking to gain confidence in the quality of your enterprise-wide data. After reading this paper, you’ll understand: