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Business Management Book Store > Business Management books beginning with E
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Enterprise Knowledge Management: The Data Quality Approach (The Morgan Kaufmann Series in Data Management Systems) |
Author: David Loshin
Published: 2001-01-22 |
List price: $71.95
Our price: $56.41
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As of: January 06th, 2009 07:28:28 AM
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Customer comments on this selection.
 Misleading
This book is NOT about enterprise management, it's about SQL. If I had wanted a book on SQL, I would have bought a book about SQL. I wanted a book on Enterprise Knowledge Management. This is not it.
 Excellent practise book in data quality
David has written an excellent data quality book. He focuses on a real works around data quality. He presents a practical approaches how to solve a different types of quality defects and also pointed out main quality principles. But reader must think how to apply mentioned principles and approaches in reader's organization.
Simply, good reading with application on a real cases.
David Loshin's book and quality improvement of New Zealand National Health Information
At the time the book was published I worked as a data quality manager at the New Zealand Ministry of Health focusing on the implementation of the Data Quality Strategy for National Health Databases. It was a great help for us. We've implemented many of David Loshin's principles. Most importantly it helped us to understand that the majority of our DQ problems were not due to the poor data management processes, but because of the inadequate system's design or poor data model, which was either conceptually or contextually incorrect, incomplete or inaccurate.
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.
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.
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