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Enterprise Knowledge Management: The Data Quality Approach
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Author: David Loshin List Price: $49.95 Our Price: Click to see the latest and low price ISBN: 0124558402 Publisher: Morgan Kaufmann (22 January, 2001) Edition: Paperback Sales Rank: 74,925 Average Customer Rating: 5 out of 5
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Customer ReviewsRating: 5 out of 5 Its all in the Details Most of the literature on Data Quality focuses on the challenges of creating and maintaining a data warehouse. Thankfully, for those of us trying to improve the integrity of the information in our OLTP databases, this book presents a methodology which is not specific to any one data environment.This book is packed with lists of cases to consider for each step of the methodology. Each case is nicely documented. Actually, much of the book is taken filled with the documentation for each case, which may cause a person to lose sight of the methodology that is being presented. I am person who prefers to learn concepts. I am not as interested in memorizing details. Hence, I would read this book, skipping most of the documentation in the lists, instead focusing on understanding the methodology. Thereafter, I would use this book as a reference when needing information on a particular step of the methodology. Rating: 5 out of 5 Data Quality in the Real World As a data warehouse practitioner for over 12 years, I was recently challenged at my current employer to help assemble a global data quality team and process. Having done much of the work before on a piecemeal basis, we made steady progress.When I received my copy of "Enterprise Knowledge Management," I found two important things: 1. We were definitely on the right track, and 2. There were some things we had missed. David Loshin has put together an excellent field guide to all aspects of data quality. It is very easy to understand, and contains practical, effective suggestions. Most importantly, it is a true "soup to nuts" guide to data quality. There is very little that you might need to improve your company's "knowledge quotient" that you will not find here. I have heartily recommended this book to a number of people when asked about data warehousing and data quality. You'll not find a better handbook anywhere. Rating: 5 out of 5 Management review While I am not a technical person, this booked helped me enormously to understand the management issues that surround data quality. In today's world, I am shocked that more companies are not using this approach to save massive sums of money. This book has given me the tools to do so within my company. I highly recommend it!
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