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 38
Page 3
... bring value to the company. However, more often than not, like Robert's, Peggy's bright ideas were lost by the absence of the correct data to sustain them. At other times, she found too much data, customer data duplicated in multiple ...
... bring value to the company. However, more often than not, like Robert's, Peggy's bright ideas were lost by the absence of the correct data to sustain them. At other times, she found too much data, customer data duplicated in multiple ...
Page 8
... from something as simple as a hand-written list. At first. Figure 1-3 A data warehouse is hardware, software, people, data, and processes. Figure 1-4 Data warehouses can bring pots of “gold.” 8 CHAPTER 1 | What Is a Data Warehouse?
... from something as simple as a hand-written list. At first. Figure 1-3 A data warehouse is hardware, software, people, data, and processes. Figure 1-4 Data warehouses can bring pots of “gold.” 8 CHAPTER 1 | What Is a Data Warehouse?
Page 9
... bring the necessary information to all levels of an organization. With decision making no longer limited to management, every employee can respond to customer requests, questions, and demands. By providing an increased level of customer ...
... bring the necessary information to all levels of an organization. With decision making no longer limited to management, every employee can respond to customer requests, questions, and demands. By providing an increased level of customer ...
Page 10
... bring them pots of “gold,” also known as significant revenues3: □ A major retailer reports improving customer service, thereby increasing sales by over 20% in just 6 months to more than $315 million. □ Another retailer uses a direct ...
... bring them pots of “gold,” also known as significant revenues3: □ A major retailer reports improving customer service, thereby increasing sales by over 20% in just 6 months to more than $315 million. □ Another retailer uses a direct ...
Page 11
... bring in pots of “gold” in increased revenues. Should. Jack. Jump. Over. the. Candlestick? Jack be nimble, Jack be quick, Jack jump over the candlestick. A data warehouse enables employees of an organization to predict new trends and shifts ...
... bring in pots of “gold” in increased revenues. Should. Jack. Jump. Over. the. Candlestick? Jack be nimble, Jack be quick, Jack jump over the candlestick. A data warehouse enables employees of an organization to predict new trends and shifts ...
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