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
... define blissful data? Blissful data consist of information that is accurate, meaningful, useful, and easily accessible to many people in an organization. These data are used by the organization's employees to analyze information and ...
... define blissful data? Blissful data consist of information that is accurate, meaningful, useful, and easily accessible to many people in an organization. These data are used by the organization's employees to analyze information and ...
Page 4
... definition; data warehouses have been broadly defined as “centralized storage sheds of related data.” But what does it all mean? What is a centralized storage shed of related data? We already know that the warehouse is not a brick-and ...
... definition; data warehouses have been broadly defined as “centralized storage sheds of related data.” But what does it all mean? What is a centralized storage shed of related data? We already know that the warehouse is not a brick-and ...
Page 5
... defined as: “. . . a store of past experiences and information that help you make decisions and take action.” We ... definition of a data warehouse: “. .. a set of computer databases specifically designed with related, historical ...
... defined as: “. . . a store of past experiences and information that help you make decisions and take action.” We ... definition of a data warehouse: “. .. a set of computer databases specifically designed with related, historical ...
Page 6
... definition of the term “data warehouse” is attributed to William H. Inmon, considered by many to be the father of data warehousing. In 1990, he defined a data warehouse as: “A subject-oriented, integrated, time-variant, and nonvolatile ...
... definition of the term “data warehouse” is attributed to William H. Inmon, considered by many to be the father of data warehousing. In 1990, he defined a data warehouse as: “A subject-oriented, integrated, time-variant, and nonvolatile ...
Page 20
... definition of the objectives, there was no chance of success. More data warehouses fail from a lack of definition of the objectives than all other reasons combined. I also realized that many involved with the data warehouse endeavor had ...
... definition of the objectives, there was no chance of success. More data warehouses fail from a lack of definition of the objectives than all other reasons combined. I also realized that many involved with the data warehouse endeavor had ...
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