There is no question that poor data quality is a problem pervasive across numerous industries and organizations. According to the 2006 Data Warehousing Institute report on enterprise data quality, nearly half of survey respondents claim that the quality of their data is "worse than everyone thinks." The number of respondents saying that their organization had suffered losses, problems, or costs due to poor data quality grew from 44% in 2001 to 53% in 2005. Thankfully, in recent years, these same respondents have claimed on new focus on data quality and the need to do something about it. Here is a book that will help.
The Practitioner's Guide to Data Quality Improvement provides the fundamentals for developing the enterprise data qauality program, and serves as a guide for the practitioner and the manager in establishing a data quality center of excellence, including business case templates, characterization of business impacts, and correlated metrics, visualization and reporting, and the use of data quality tools.
a comprehensive look at data quality for business and IT, encompassing people, process, and technology.
HOW to institute and run a data quality program, from the first thoughts and justifications to maintenance and ongoing metrics.
* includes an indepth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.