on 14 June 2009
This is a excellent and practical guide to data quality assessment for those working in large (American) corporations with plenty of data warehouses, legacy tables and data quality problems; and with the human and financial resources to tackle them. Though similar data quality principles apply regardless of the amount of data you have, the practical side of this book really won't suit those working in smaller organisations, with less data and fewer resources.
The book needed a more stringent and knowledgeable editor/proof-reader, and I would have liked to have seen a little less of the author in the book - the constant references to books he will write get irritating. I also fervantly hope that the comment that you can only be a data quality expert if you have attended one of his seminars or read his book was made with his tongue firmly in his cheek!
Overal, a very valuable contribution.
on 15 April 2008
For many years DQ awareness has improved incrementally with several key authors all adding layers of knowledge and experience through various publications.
This, however, is the first book so far that dispenses with the often irrelevant theory and instead actually gives the reader a straightforward account of how to deliver a DQ assessment, the very thing the industry has been crying out for all this time!
An extremely thorough yet highly readable book. There is something in here for the DQ beginner through to the experienced practitioner.
This book is long overdue within the DQ industry and should be essential reading for anybody who wants to help their organisation or clients take their DQ strategy in the right direction. Excellent throughout.