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| Data Quality Assessment | 
| Author: Maydanchik Arkady
Publisher: Technics Publications, LLC
Category: Book
List Price: $54.95
Buy New: $33.79
You Save: $21.16 (39%)
Buy New/Used from $33.79
Avg. Customer Rating:  (5 reviews)
Sales Rank: 156368
Languages: English (Original Language), English (Unknown), English (Published)
Media: Perfect Paperback
Number Of Items: 1
Pages: 336
Shipping Weight (lbs): 1.5
Dimensions (in): 9.9 x 7 x 0.8
ISBN: 0977140024
Dewey Decimal Number: 004
EAN: 9780977140022
ASIN: 0977140024
Publication Date: May 14, 2007
Availability: Usually ships in 1-2 business days
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Product Description
Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies. Quality data is the key to any advancement, whether it is from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organize, and utilize data about products, customers, competitors, and employees. Fortunately, improving your data quality does not have to be such a mammoth task. DATA QUALITY ASSESSMENT is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organization. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analyzing data errors. Master techniques in data profiling and gathering metadata, designing data quality rules, organizing rule and error catalogues, and constructing the dimensional data quality scorecard. David Wells, Director of Education of the Data Warehousing Institute, says "This is one of those books that marks a milestone in the evolution of a discipline. Arkady's insights and techniques fuel the transition of data quality management from art to science -- from crafting to engineering. From deep experience, with thoughtful structure, and with engaging style Arkady brings the discipline of data quality to practitioners."
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| Customer Reviews:
A Tough Subject Made Easier September 18, 2008
Data quality assessment has become so much a part of many data quality programs that we assume that everyone knows how to do it well and efficiently. But this is not the case. Done well, assessment is technically difficult and demanding, often conducted under the press of time, short on budget, and long on conflicting management demands. Much can, and does, go wrong. So Arkady Maydanchik's volume is a welcome addition to the data quality literature. It describes the end-to-end assessment process and each step in a brisk, easy-to-read style.
I especially liked portions of Chapter 8. They lay out a process for actually creating business rules, another one of those nettlesome tasks that people underestimate.
M Lombard Data Governance Consultant August 27, 2008
This is the best book on the subject I have seen, and I read almost all of them!
Extremely well organized, taking the reader from the fundamentals through the process in an easy read. He has a way of presenting technical subject in such a way that anyone could understand them. All concepts are accompanied by examples taken from of every-day experience. All the examples are easily understood and well explained. After reading his explanation and examples of even the most complex and obscure data quality issues you are left with the felling of "Oh yea, I get it."
Hua! It's about time. February 1, 2008
4 out of 4 found this review helpful
My business, Northwest Database Services, has cleaned clients' data for over 20 years. In all that time I've only met two or three people who do this kind of work professionally on a regular basis. (Our conventions are small.)
With this in mind, it is easy to see why I was so pleased and surprised to find someone had written a book about the subject; especially as thoughtful and insightful a one as Quality Data Assessment.
Arkady Maydanchik brings years of experience and first-hand knowledge to the table, while organizing it into a logical, sequential and, most important, understandable manual. This book goes into the typical causes of data degradation as well as how to find it and begin the process of fixing it.
You can't even begin to fix your data until you have a clear picture of what's going on "in there", so data assessment is the first and maybe the most important step in achieving data consistency and reliability. If your work involves data assessment, migration creation or maintenance, you should have this book on your shelf. It's that simple.
But wait, there's more. This is just the first volume in a set of data assessment and cleaning processes, tips, tricks and tools books that will be forthcoming. I'm told that the second volume in this series will be published in October 2008. I know it sounds incredibly geeky, but I can hardly wait.
Great book November 8, 2007
2 out of 4 found this review helpful
Book is well written, easy to read, great help for anyone who has to deal with data quality issues. It brings systematic approach to data quality testing.
A book for data quality analysts and practitioners July 25, 2007
4 out of 6 found this review helpful
Data quality analysts and practioners needed this step by step guide to assess the quality of the data in their organization. The book is well organized, it's very practical and easy to understand. The examples are excellent and meaningful and the author has an interesting sense of humor.
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