Foreword
In my job, I work with a very large number of organizations interested in making progress on minimizing or even completely removing their data quality issues. The diversity of their circumstances is amazing – organizations of different sizes, industries, and structures, all with burning data quality issues that impact their businesses in a variety of different ways and in various business functions and processes. Even the manner in which they plan to attack these issues, from the approach to building a business case to the tactics of data quality issue resolution, are all over the map.
But the one thing that all of these organizations have in common is their desire for practical, easily implemented, and immediately effective approaches ...
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