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 ix
... applications. Whatever the application, there was always one similar method for handling data. Data were added, changed, or deleted on one or more databases. One day I needed some customer data, so I began looking for a customer ...
... applications. Whatever the application, there was always one similar method for handling data. Data were added, changed, or deleted on one or more databases. One day I needed some customer data, so I began looking for a customer ...
Page 8
... application is used to access the data. There are many types of applications that allow you to query the data warehouse, obtain the selected data, and receive the information in the format specified. Because these applications allow you ...
... application is used to access the data. There are many types of applications that allow you to query the data warehouse, obtain the selected data, and receive the information in the format specified. Because these applications allow you ...
Page 18
... applications. Over the years I worked with dozens of data bases but I still was struck unawares by my first encounter with a data warehouse. Let me relate what occurred. At the time, I was excited to gain an opportunity to work on a ...
... applications. Over the years I worked with dozens of data bases but I still was struck unawares by my first encounter with a data warehouse. Let me relate what occurred. At the time, I was excited to gain an opportunity to work on a ...
Page 29
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Page 31
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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