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
... amounts of disparate data and data warehousing, so that you know in one location; this became known as a data warehouse. what it takes to make it work for you. Early pioneers proved the technology worked. They showed that a. vii Preface.
... amounts of disparate data and data warehousing, so that you know in one location; this became known as a data warehouse. what it takes to make it work for you. Early pioneers proved the technology worked. They showed that a. vii Preface.
Page viii
... amounts of data that had been transformed and organized to be meaningful and useful to all employees of an organization. But data warehousing is not simple. It is also not just technical. Learn from the victories and mistakes of others ...
... amounts of data that had been transformed and organized to be meaningful and useful to all employees of an organization. But data warehousing is not simple. It is also not just technical. Learn from the victories and mistakes of others ...
Page ix
... enabled consumers to be much more informed. But the Internet also demands that massive amounts of data be stored and accessed easily. Cordrove away porations have found that a data warehouse gives them the iχ Introduction.
... enabled consumers to be much more informed. But the Internet also demands that massive amounts of data be stored and accessed easily. Cordrove away porations have found that a data warehouse gives them the iχ Introduction.
Page 3
... amounts of dissimilar data in one location with the means to access the data in a reasonably quick fashion. The availability of low-priced computing power also made this technology economically feasible. The method became known as data ...
... amounts of dissimilar data in one location with the means to access the data in a reasonably quick fashion. The availability of low-priced computing power also made this technology economically feasible. The method became known as data ...
Page 8
... amounts of information. These special data influence all the decisions you make. Similarly, a data warehouse contains large amounts of data that are used for analysis and making decisions. □ The data in your memory could very possibly ...
... amounts of information. These special data influence all the decisions you make. Similarly, a data warehouse contains large amounts of data that are used for analysis and making decisions. □ The data in your memory could very possibly ...
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