Master Data Management (The MK/OMG Press)

Sure a lot of good info but has the following flaws:1) Not a lot of practical advice - feels that it is targeted towards management vs. architects. Sure, this is great but....2) The message is not concise - I feel that the same info could be expressed in fewer sentenses, probably the whole book can be shrunk to 50% of the volumeEvery MDM book has a message that MDM is not just about technology, it is about business process and people - so this message by itself is not that ground breaking. But MDM is also about good IT Architecture and applied technology - it is still important and needs to be covered in details to cover MDM as a whole.I would still advice readers that looking for a great MDM book refer to the "Enterprise Master Data Management: An SOA Approach to Managing Core Information (IBM Press) " bookhttp://www.amazon.com/Enterprise-Master-Data-Management-Information-ebook/dp/B004UA78VK/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1422203141&sr=1-1&keywords=IBM+master+data+managementAfter finishing the book I am reviewing - I went back to that

I've just finished reading David Loshin's "Master Data Management". And I've been greatly edified by the experience. Within the corpus of this text, Loshin presents a comprehensive overview of the business problems inherent in ineffective master data management together with a thoughtful guide to solving these problems. In reading Loshin's book, one hears the voice of a wise and savvy practitioner. Yet, Loshin writes with an outstanding clarity and economy that, sadly, is too often absent in books of this nature.Whilst reading Loshin's excellent book, I was constantly reminded of the problems that are extant relative to master data management throughout the industry today. Loshin is clearly both an experienced consultant as well as a gifted expositor. We strongly recommend this excellent book to any folks today charged with making key data structures such as customer and product more readily accessible to their user community. Loshin provides an excellent and essential guide. And he comes across as a very nice and knowledgeable guy, to boot. God bless.

This book was a huge disappointment. It is cheap in quality and poor in content. If you are trying to learn something USEFUL about MDM, look elsewhere. If you have never worked on data management and governance, you might indeed learn some high level concepts, but if you look for something technical, something more specific than catchy phrases like "data is all about the people", then you are wasting your time and money.I was expecting this book to be what Ralph Kimball's works are for data warehousing and multidimensional modeling; instead, at best this could be a "sales pitch" for executives with zero technical background.Besides that, the author might be a genius of MDM (as portrayed in other reviews), but diagrams and examples provided in the book are so "cheap" that they convey the impression that the product was simply put together to make a quick buck.That is of course just my humble opinion, and I don't expect every book to be a piece of art (see Edward Tufte's works), but for $50+ I would expect something more, especially from MK/OMG Press.

David Loshan has written a really great primer for anyone getting started in Master Data Management. He clearly explains the different architecture styles, discussing the advantages and disadvantages of each approach. He also describes how to go about a master data project, touching on key enablers required for success, including data governance. I highly recommend this book.

I needed a reference for MDM and selected this book out of others. I think it is ok, and covers a lot of topics, however due to the fact that this discipline is constantly changing I found it lacked some concepts. I recomend it as a startup but definetly not enough when you get to an advanced level.

I want to thank David for writing the book which is easily the best in the market in MDM. It really helped me to understand MDM as a whole and give solid framework. This book has been and will still remain a foundation for my work. It manages to remain in the organisational level not alienating business people with IT jargon.

A little dry, but this author knows his stuff. I have been able to apply his concepts to several projects.

This is a book that I ordered for one of my classes. I have found it to be very informative

MDM is not really a fascinating subject for a book. But this manages to make it so boring that honestly, it was like swimming through treacle reading it. By the end of the first 20 pages I was wondering if 20 pages is all MDM deserves is there enough for a book?). For me the jury is still out, although this book will remain as a "reference" for me, so it continues to justify the purchase. Just dont expect it to be an interesting read .....

I was very disappointed with this book - of course data quality is important for any business - unfortunately this book will not help you achieve it.If you work for a big consulting firm and want some slide deck material to bore people to death with or your doing an mba course in talking about business rather than executing business - then maybe of value to you.If you work in the real world then you will find little of value - it just regurgitates cliches and stating the obvious all the time - I am well aware that in a room full of people there is a good chance that 2 persons will have the same birthday - I know workers spell company names differently - so what duh!The problem with this book it is not practical - like Joe Celko or Itzik Ben-Gan or Stephan Faroult - brilliant authors who who fill their books full of elegant solutions, to real world data management problems.This book is NOT theoretical either - like for example the superb books from Chris Date - they are hard going, but well worth investing time in reading many times.This book is in-between in wishy washy no-mans land - therefore of zero or little value to someone in business.The only way to achieve master data quality is using the power of a relational database - simple!So I've concluded that to learn about achieving data quality - one is better off reading good books on database design - rather than this faddish type of book.