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
... databases. One day I needed some customer data, so I began looking for a customer database. I found sixteen! Sixteen customer databases in one company? Here were riches indeed! How should I decide which customer database to use? What if ...
... databases. One day I needed some customer data, so I began looking for a customer database. I found sixteen! Sixteen customer databases in one company? Here were riches indeed! How should I decide which customer database to use? What if ...
Page 5
... databases specifically designed with related, historical blissful data that assist in formulating decisions and taking action.” What do you think of when you see the term “database?” I often think of a database as a file cabinet full of ...
... databases specifically designed with related, historical blissful data that assist in formulating decisions and taking action.” What do you think of when you see the term “database?” I often think of a database as a file cabinet full of ...
Page 6
... databases? How are data warehouses special? Aren't they just a large collection of databases? An easy way to realize the differences between data warehouses and databases is to go back to my analogy of your memory. What makes it special ...
... databases? How are data warehouses special? Aren't they just a large collection of databases? An easy way to realize the differences between data warehouses and databases is to go back to my analogy of your memory. What makes it special ...
Page 7
... database. In addition, you have a built-in “database management system (DBMS)” to operate your memory cells. In a data warehouse, the DBMS is the computer software that organizes, operates, and manages the data. □ In addition to your ...
... database. In addition, you have a built-in “database management system (DBMS)” to operate your memory cells. In a data warehouse, the DBMS is the computer software that organizes, operates, and manages the data. □ In addition to your ...
Page 19
... database; it was an entire environment, one of many changes. Many more negative events started to occur, including: □ Key EDM people left the company. □ A lack of funds caused EDM to stop work temporarily. □ The quality of the data ...
... database; it was an entire environment, one of many changes. Many more negative events started to occur, including: □ Key EDM people left the company. □ A lack of funds caused EDM to stop work temporarily. □ The quality of the 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