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
Results 1-5 of 36
Page ix
... increasing chances for a positive sale, the car dealership had a better return for its advertising dollar. This car ... increased the rate of change, and enabled consumers to be much more informed. But the Internet also demands that ...
... increasing chances for a positive sale, the car dealership had a better return for its advertising dollar. This car ... increased the rate of change, and enabled consumers to be much more informed. But the Internet also demands that ...
Page x
... increased rate of change in today's competitive market fuels a new generation of data warehouses. Predicting new ... increasing profits for the organization. The enrichment and empowerment brought about by enhanced decision making ...
... increased rate of change in today's competitive market fuels a new generation of data warehouses. Predicting new ... increasing profits for the organization. The enrichment and empowerment brought about by enhanced decision making ...
Page 1
... increased productivity in his business division. Robert got really excited about this idea, but his boss told him to first research some numbers and figures to support his proposal. So, with the blood pounding in his ears, Robert ...
... increased productivity in his business division. Robert got really excited about this idea, but his boss told him to first research some numbers and figures to support his proposal. So, with the blood pounding in his ears, Robert ...
Page 2
... increased value to an organization! So what data do organizations seem to be lacking? How are these data different from the vast quantities of information that organizations use to run their day-to-day business? Why is it so difficult ...
... increased value to an organization! So what data do organizations seem to be lacking? How are these data different from the vast quantities of information that organizations use to run their day-to-day business? Why is it so difficult ...
Page 9
... increased level of customer service, every employee contributes to an organization's success. Successful organizations have customers coming back again and again. These organizations don't just survive, they thrive! Organizations with ...
... increased level of customer service, every employee contributes to an organization's success. Successful organizations have customers coming back again and again. These organizations don't just survive, they thrive! Organizations with ...
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