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
... data, to support your decisions. Blissful data are the facts and information that could help you choose your options ... warehousing, so that you know in one location; this became known as a data warehouse. what it takes to make it work ...
... data, to support your decisions. Blissful data are the facts and information that could help you choose your options ... warehousing, so that you know in one location; this became known as a data warehouse. what it takes to make it work ...
Page viii
... data warehouse could provide access to large 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 ...
... data warehouse could provide access to large 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 ...
Page ix
... data warehouse and had jumped onto the data warehousing bandwagon. You already know how the right data helps you make good decisions, but what else was so great about data warehousing? Let's look at a simple example. One day, my friend ...
... data warehouse and had jumped onto the data warehousing bandwagon. You already know how the right data helps you make good decisions, but what else was so great about data warehousing? Let's look at a simple example. One day, my friend ...
Page x
... data warehouse enabled them to keep ahead ... warehousing. Learn from the victories and mistakes of others to seize the gain and sidestep the pain! Margaret Y. Chu Warehouse? Why Should You Care? AXIOM 1 Data, data everywhere, χ Introduction.
... data warehouse enabled them to keep ahead ... warehousing. Learn from the victories and mistakes of others to seize the gain and sidestep the pain! Margaret Y. Chu Warehouse? Why Should You Care? AXIOM 1 Data, data everywhere, χ Introduction.
Page 3
... data. What. Are. Blissful. Data? Well, then, how does one define blissful data? Blissful data consist of information that is accurate, meaningful, useful, and easily accessible to ... data warehousing, and it utilized What Are Blissful Data?
... data. What. Are. Blissful. Data? Well, then, how does one define blissful data? Blissful data consist of information that is accurate, meaningful, useful, and easily accessible to ... data warehousing, and it utilized What Are Blissful Data?
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