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 vii
... 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 I wear?” Other decisions are much more difficult, and you need ...
... 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 I wear?” Other decisions are much more difficult, and you need ...
Page ix
... successful car sales did the dealer have that month? By knowing its customers and increasing chances for a positive sale, the car dealership had a better return for its advertising dollar. This car dealership was utilizing good customer ...
... successful car sales did the dealer have that month? By knowing its customers and increasing chances for a positive sale, the car dealership had a better return for its advertising dollar. This car dealership was utilizing good customer ...
Page x
... success is measured by how well you turn that data into information and take the right action. With blissful data you become empowered to make better decisions. Having the facts to support your decision-making strategies places you on ...
... success is measured by how well you turn that data into information and take the right action. With blissful data you become empowered to make better decisions. Having the facts to support your decision-making strategies places you on ...
Page 2
... success? What can be learned from others who have succeeded and those who have failed? This book addresses these ... successful organizations, the answer to this question is 2 CHAPTER 1 | What Is a Data Warehouse?
... success? What can be learned from others who have succeeded and those who have failed? This book addresses these ... successful organizations, the answer to this question is 2 CHAPTER 1 | What Is a Data Warehouse?
Page 3
Margaret Y. Chu. think about successful organizations, the answer to this question is simple: Organizations need optimized information that drives maximum productivity. I call this optimized information blissful data. What. Are. Blissful.
Margaret Y. Chu. think about successful organizations, the answer to this question is simple: Organizations need optimized information that drives maximum productivity. I call this optimized information blissful data. What. Are. Blissful.
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