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This book illustrates how organizations can make better, faster decisions about their customers, partners, and operations using business intelligence, the process of turning large amounts of data into valuable information and making it easily available to decision makers. The book describes the comp
- Sales Rank: #540736 in Books
- Published on: 2002-04-01
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x .91" w x 6.60" l,
- Binding: Hardcover
- 202 pages
- Business
- Elizabeth Vitt
- Michael Luckevic
- Stacia Misner
Most helpful customer reviews
4 of 4 people found the following review helpful.
Excellent starting point for DW/BI background knowledge
By Jeremy Oosthuizen
I chose this book, because I needed to get some background on BI fairly quickly. It satisfied that need very well. It is quite well-written and some parts read more like a story, which is quite the opposite of the "just the facts, ma'am" approach of Kimball and his associates. (That is not a stab at Kimball. I am a big fan and I believe they have so much to say that they don't really have the space to make it story-like. Kimball has a completely different goal with his books -- but this is not a Kimball-review.)
At the start, the book introduces us to the Director of Imports at a gift and novelty wholesale company. Her initiative of selling a certain item didn't work so well, and we get to know the steps she has taken to analyze the data to find out what happened. Along the way, we are introduced to many Data Warehousing / Business Intelligence (DW/BI) concepts.
After the story, some basic DW/BI terms are explained in more detail. The authors explain quite well where they fit in the process of getting from mounds of static data, to a useable set of data for analytical purposes, which they call the BI Roadmap.
The book contains five case studies of a few pages each, which help fix the process of implementation.
If you know nothing about DW/BI and you quickly need a framework on which to hang whatever knowledge you gain elsewhere, I'd say this is a great start. Also, if you've implemented a DW/BI system and failed, this may help get you back to your roots. However, if you've read a lot of in-depth material and maybe have an implementation or two (successful) under your belt, this will only serve as a relaxing read; you won't gain much new knowledge from it.
I give it 5 stars, because it does what I think it attempts to do. It gives you background knowledge and a framework; it does not attempt to be an encyclopaedic work and desk reference, like Kimball's books are. Therefore it reads in a fraction of the time it would take to read Kimball. If background is what you're looking for, enjoy.
8 of 10 people found the following review helpful.
A great primer
By Michael Bingle
First of all, I will have to admit that I am a Microsoft advocate. I like their solutions and I think very highly of what they have to offer with SQL Server and Analysis Services.
This book lays down a good foundation for anyone to follow. It explains the concept of BI, the uses of BI, and the payback of BI. What more do you want.
I have been in charge of an SAP/BW group for a large consumer electronics company for the past 4 years. SAP's architecture for BI is very expensive, inflexible, and limited. Using Microsoft's concepts of BI would be cheaper, very flexible, with much more capabilities.
So, grab this book, read it, then read it again. Install SQL Server 2k. Install Analysis Services (comes with SQL Server 2k) and install SQL Servers Service Packs 1-3).
Then experiement with what they are telling you in this book and you will be amazed at what you can do....and cheaply!!!
Good Luck!
8 of 9 people found the following review helpful.
Concise, Practical and Inspiring Advice
By PWG
Techies will enjoy learning from real world examples of business intelligence technologies. Business leaders will appreciate how complex technical and business topics are tackled from various perspectives - what is BI, how BI will help your organization, and the most helpful chapter, how to actually identify, start and implement a BI solution.
Only wish the authors had spent a little more time identifying pitfalls, but that is why you hire experts to help you out.
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