Blissful DataAnalyzing 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. |
From inside the book
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Page ii
... Decision making—Data processing. 2. Management—Data processing. I. Title. HD30.23.C4739 2003 658.4′038—dc21 2003012530 © 2004 Margaret Y. Chu Illustrations © 2004 by Rita Asia Lee All rights reserved. This publication may not be ...
... Decision making—Data processing. 2. Management—Data processing. I. Title. HD30.23.C4739 2003 658.4′038—dc21 2003012530 © 2004 Margaret Y. Chu Illustrations © 2004 by Rita Asia Lee All rights reserved. This publication may not be ...
Page vii
... decisions. Depending on the decision we make, we take action. Our success depends on how well we take the right action. So it is important to be able to make the right decisions. Some decisions are easy, such as “What color socks should ...
... decisions. Depending on the decision we make, we take action. Our success depends on how well we take the right action. So it is important to be able to make the right decisions. Some decisions are easy, such as “What color socks should ...
Page ix
... decisions, but what else was so great about data warehousing? Let's look at a simple example. One day, my friend Anne was delighted to receive in the mail a beautifully embossed invitation to test drive a new luxury car. Here was an ...
... decisions, but what else was so great about data warehousing? Let's look at a simple example. One day, my friend Anne was delighted to receive in the mail a beautifully embossed invitation to test drive a new luxury car. Here was an ...
Page x
... decisions. Having the facts to support your decision-making strategies places you on the road to success. Blissful data provides the tool for such optimum information, enabling decision making to occur at all levels of an organization ...
... decisions. Having the facts to support your decision-making strategies places you on the road to success. Blissful data provides the tool for such optimum information, enabling decision making to occur at all levels of an organization ...
Page 2
... decision making and strategic action. This optimally organized information should be not only for strategic decision makers in top management, but it should also be available to all employees of an organization. With such empowerment ...
... decision making and strategic action. This optimally organized information should be not only for strategic decision makers in top management, but it should also be available to all employees of an organization. With such empowerment ...
Contents
Data Warehouses Data Marts | 25 |
Myths and Misconceptions | 47 |
What Are Dirty Data? Where Do Dirty Data Come From? | 69 |
Politics | 93 |
Politics | 116 |
Project Management | 152 |
Data Modeling | 186 |
Case Studies | 210 |
Glossary | 229 |
About the Author | 245 |
Other editions - View all
Blissful Data: Wisdom and Strategies for Providing Meaningful, Useful, and ... Margaret Y. Chu No preview available - 2004 |
Common terms and phrases
action additional already amounts analysis application areas become benefits better blissful data bring business clients business rules business units called cause Chapter clear codes communication completed contains cost create culture data mart data model data warehouse data warehousing databases decisions defined detailed dirty data effort employees endeavor example exist expectations field Figure functional game plan goals groups important improvement increased integration investment involved issues keep knowledge look measurement metadata method months objectives obtain once operational operational systems organization organizational culture performance person problems project management queries REMEMBER reports requirements response risk schedule scope share skills solution specific sponsor structure success tool types understand ware