The Practitioner's Guide to Data Quality Improvement

Preface

Having worked as a data quality practitioner for the past 15 years, I have noticed a significant change in the ways that we can approach data quality management. Data quality is rapidly transitioning from an industry dominated by simplistic approaches to name and address cleansing to one that more closely mirrors a business productivity management environment. The growing recognition that high quality data more efficiently fuels the achievement of business objectives implies that the 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 ...