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 3
... problems. From Peggy I learned that data for analysis were very different from operational data used in day-to-day workings of the company. Business clients and strategists clearly needed data that had been consolidated and optimized by ...
... problems. From Peggy I learned that data for analysis were very different from operational data used in day-to-day workings of the company. Business clients and strategists clearly needed data that had been consolidated and optimized by ...
Page 4
... problems in various industries across the world. However, it is not as simple as it sounds. As we shall see, a data warehouse of blissful data is not that easy to achieve. Let's start at the very beginning and define a data warehouse in ...
... problems in various industries across the world. However, it is not as simple as it sounds. As we shall see, a data warehouse of blissful data is not that easy to achieve. Let's start at the very beginning and define a data warehouse in ...
Page 6
... about a boy named Christopher Robin, a bear named Winnie the Pooh, and a pig named Piglet, Pooh and Piglet decide to set a trap for a heffalump. They had only one problem: They didn't. 6 CHAPTER 1 | What Is a Data Warehouse?
... about a boy named Christopher Robin, a bear named Winnie the Pooh, and a pig named Piglet, Pooh and Piglet decide to set a trap for a heffalump. They had only one problem: They didn't. 6 CHAPTER 1 | What Is a Data Warehouse?
Page 7
Margaret Y. Chu. for a heffalump. They had only one problem: They didn't know what a heffalump looked like. In their minds, it had two characteristics: It was big and scary. Similarly, a data warehouse, too, could be big and scary. Thus ...
Margaret Y. Chu. for a heffalump. They had only one problem: They didn't know what a heffalump looked like. In their minds, it had two characteristics: It was big and scary. Similarly, a data warehouse, too, could be big and scary. Thus ...
Page 18
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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