Data Quality Assessment

Features

• Perfect Paperback: 336 pages
• Published by: Technics Publications, LLC May 14, 2007
• Written in: English
• ISBN 10 Number: 0977140024
• ISBN 13 Number: 978-0977140022
• Book Dimensions: 9.9 x 7 x 0.8 inches
• Weighs: 1.4 pounds

Product Review
DATA QUALITY ASSESSMENT is an great book and a must read for any data quality professional. Arkady packs years of experience in data quality into comprehensive step-by-step instructions for practitioners of all levels. --R. Michael Levin, Sr. Database Architect, Lockheed Martin

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 requirements 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."

Reader Reviews
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. Comment | | (Report this)