The Practitioner's Guide to Data Quality Improvement
As a data quality practitioner for the past 15 years, I've noticed significant changes in ways that data quality management is approached. Data quality is rapidly transitioning from an industry dominated by simplistic name and address cleansing to one that closely mirrors a business productivity management environment. The growing recognition that high quality data more efficiently fuels the achievement of business objectives implies a need to develop an enterprise data quality program. But in order to build this program, one needs more than name and address cleansing tools. Instead, one needs the basic policies, processes, and maturity that contribute to the management and governance framework for maintaining measurably high-quality data. This web site is intended to provide the fundamentals for developing the enterprise data quality program, and is intended to guide both the manager and the practitioner in establishing operational data quality control throughout an organization.
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