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Blissful Data: Wisdom and Strategies for Providing Data That's Meaningful, Useful, and Accessible for All Employees
 
 
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Blissful Data: Wisdom and Strategies for Providing Data That's Meaningful, Useful, and Accessible for All Employees [Hardcover]

Margaret Y. Chu (Author)
4.9 out of 5 stars  See all reviews (15 customer reviews)

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Book Description

January 6, 2004
"Analyzing information and acting accordingly is a key strategic goal of every business. But vast quantities of data are of little use if they are not structured and kept in such a way as to be readily accessible and applicable. Only optimally organized information can drive maximum productivity. Blissful Data is a reader-friendly book that reveals what it takes to achieve a state of perfect organization within the environment of a successful data warehouse. This timely book will help the reader: * understand how data evolves into information that drives better decision making * recognize the pitfalls, caused by people and politics, that lead to short-sighted solutions and long-term problems * manage data warehousing costs, performance, and expectations effectively * apply project management fundamentals to data warehouse endeavors Blissful Data includes dozens of examples, as well as case studies illustrating successful, unsuccessful, and disastrous data warehouse strategies."

Editorial Reviews

Review

"..does a good job of explaining data marts,data warehouses,business rules, metadata,data modeling and integration." -- ComputerWorld

Review

ComputerWorld: "...does a good job of explaining data marts, data warehouses, business rules, metadata, data modeling and integration."


Product Details

  • Reading level: Ages 17 and up
  • Hardcover: 224 pages
  • Publisher: AMACOM (January 6, 2004)
  • Language: English
  • ISBN-10: 0814407803
  • ISBN-13: 978-0814407806
  • Product Dimensions: 9.4 x 6.2 x 1 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.9 out of 5 stars  See all reviews (15 customer reviews)
  • Amazon Best Sellers Rank: #1,988,104 in Books (See Top 100 in Books)

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Customer Reviews

15 Reviews
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Average Customer Review
4.9 out of 5 stars (15 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

4 of 4 people found the following review helpful:
5.0 out of 5 stars Read Blissful Data to learn all aspects of a Data Warehouse, March 1, 2004
By 
This review is from: Blissful Data: Wisdom and Strategies for Providing Data That's Meaningful, Useful, and Accessible for All Employees (Hardcover)
Margaret Chu leads us into and through the world of Data Warehousing with a writing style unique to "IT primers."
This book was fun to read. Blissful Data informs and entertains. The examples and the book's illustrations facilitate the readers' education in all aspects of projects involving large amounts of data.
For me, it's indeed rare for such a valuable learning experience to be so enjoyable!
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4 of 4 people found the following review helpful:
5.0 out of 5 stars A Book That Delivers by an Author Who Gets It, February 6, 2004
By 
Jill Dyche (Los Angeles, CA USA) - See all my reviews
(REAL NAME)   
This review is from: Blissful Data: Wisdom and Strategies for Providing Data That's Meaningful, Useful, and Accessible for All Employees (Hardcover)
As corporate executives launch strategic projects that mandate enterprise information (business intelligence, supply chain management, CRM, database marketing), data is once again in fashion. Margaret Chu describes not only the value of rich, clean, integrated data, but the tactics involved for deploying it across the enterprise. Issues that are top-of-mind in today's businesses--including data quality, data modeling, and even the politics around information--take center stage in a well-structured, easy-to-read format.

Written in an engaging style with a plethora of real-life examples, Blissful Data should be in the library of managers and practitioners alike!

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4 of 4 people found the following review helpful:
5.0 out of 5 stars Learn Data Warehousing From A Great Coach, February 5, 2004
By 
Alan Chow (Escondido, CA United States) - See all my reviews
This review is from: Blissful Data: Wisdom and Strategies for Providing Data That's Meaningful, Useful, and Accessible for All Employees (Hardcover)
I really enjoyed reading Blissful Data on one of my recent business trip. The first thing that struck me was the distinctive coaching style of the author. By not coming across as teaching, preaching, or mothering, I found it easy to "listen" and take the author's friendly advice to heart. As I got into the book, I discovered the author's wit and talent in illustrating difficult technology concepts using everyday life examples. By the time I finished the book, it became clear that the book has comprehensively covered technology, human factors, project disciplines, and everything else necessary for successful implementations of enterprise data warehouses. It is an easy read, flows well, and expertly organized. I was able to finish it in a couple of hours to get all the salient points, and I know where to go back and easily find the details if I needed to.
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Inside This Book (learn more)
First Sentence:
have you ever had a great idea that could have brought your organization significant value, but you pushed it aside because you could not get the correct data? Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
blissful data, data warehouse success, data warehouse endeavor, warehouse sponsor, warehouse endeavors, dirty data issues, customer data mart, independent data marts, small data warehouse, successful data warehouse, data warehouse performance, unique end result, project procurement management, project communications management, project integration management, stovepipe organization, canned queries, project human resource management, enterprise data warehouse, project cost management, informational data, project quality management, good game plan, project scope management, right sponsors
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Looking Good, Bill Smith, Big Bang, Meng Jaignu, Rubik's Cube, What's Plan, What's the Scoop
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