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 18
... issues, and people problems cause the failure of many data warehouse endeavors. A Cakewalk? Not! I worked in IT through the 1980s and 1990s, blissfully producing computer systems for many types of business applications. Over the years I ...
... issues, and people problems cause the failure of many data warehouse endeavors. A Cakewalk? Not! I worked in IT through the 1980s and 1990s, blissfully producing computer systems for many types of business applications. Over the years I ...
Page 19
... issues. □ Surprising political issues came about; the logistics group would not share their data, and EDM had to create certain duplicate data for FLPT. These significant events had a tremendous impact on the forecast project. After 6 ...
... issues. □ Surprising political issues came about; the logistics group would not share their data, and EDM had to create certain duplicate data for FLPT. These significant events had a tremendous impact on the forecast project. After 6 ...
Page 22
... Issues of people, power, and politics come with implementing cross organizational change and integration. Organizational cultures, leaders, structure, and the important role of the data warehouse sponsor all play a part in overcoming ...
... Issues of people, power, and politics come with implementing cross organizational change and integration. Organizational cultures, leaders, structure, and the important role of the data warehouse sponsor all play a part in overcoming ...
Page 23
... ✓. Data warehouses enrich employee knowledge and understanding of the entire business of the organization. This can lead to unimagined benefits! ○✓ Politics, power issues, and people problems cause the failure. The Rest of the Story 23.
... ✓. Data warehouses enrich employee knowledge and understanding of the entire business of the organization. This can lead to unimagined benefits! ○✓ Politics, power issues, and people problems cause the failure. The Rest of the Story 23.
Page 24
Margaret Y. Chu. ○✓. Politics, power issues, and people problems cause the failure of many data warehouse endeavors. ○✓. More data warehouses fail from a lack of definition of the objectives than all other reasons combined. Unrealistic ...
Margaret Y. Chu. ○✓. Politics, power issues, and people problems cause the failure of many data warehouse endeavors. ○✓. More data warehouses fail from a lack of definition of the objectives than all other reasons combined. Unrealistic ...
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