Blissful data: wisdom and strategies for providing meaningful, useful, and accessible data for all employees
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
AMACOM
©2004
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references (pages 237-238) and index What the Heck Is a Data Warehouse -- Why Should You Care? -- Data Warehouses, Data Marts -- What's in a Name? -- Myths & Misconceptions -- What Should You Eradicate? -- What Is Dirty Data -- How the Heck Does It Get There? -- Politics -- Who Owns It Anyway? -- Politics -- Who's Gonna Pay? -- Project Management -- Is It the Silver Bullet? -- Data Modeling -- Why do You Care? -- Case Studies -- Is There a Light at the End of the Tunnel? Annotation "Analyzing 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 Datais 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 endeavorsBlissful Dataincludes dozens of examples, as well as case studies illustrating successful, unsuccessful, and disastrous data warehouse strategies." |
| Beschreibung: | 1 Online-Ressource (x, 244 pages) |
| ISBN: | 0814407803 0814427375 9780814407806 9780814427378 |
Internformat
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| 500 | |a Includes bibliographical references (pages 237-238) and index | ||
| 500 | |a What the Heck Is a Data Warehouse -- Why Should You Care? -- Data Warehouses, Data Marts -- What's in a Name? -- Myths & Misconceptions -- What Should You Eradicate? -- What Is Dirty Data -- How the Heck Does It Get There? -- Politics -- Who Owns It Anyway? -- Politics -- Who's Gonna Pay? -- Project Management -- Is It the Silver Bullet? -- Data Modeling -- Why do You Care? -- Case Studies -- Is There a Light at the End of the Tunnel? | ||
| 500 | |a Annotation "Analyzing 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 Datais 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 endeavorsBlissful Dataincludes dozens of examples, as well as case studies illustrating successful, unsuccessful, and disastrous data warehouse strategies." | ||
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Datensatz im Suchindex
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| author | Chu, Margaret Y. |
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| dewey-full | 658.4/038 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/038 |
| dewey-search | 658.4/038 |
| dewey-sort | 3658.4 238 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV043124343 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:18:10Z |
| institution | BVB |
| isbn | 0814407803 0814427375 9780814407806 9780814427378 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028548534 |
| oclc_num | 65180559 |
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| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource (x, 244 pages) |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | AMACOM |
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| spelling | Chu, Margaret Y. Verfasser aut Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees Margaret Y. Chu New York AMACOM ©2004 1 Online-Ressource (x, 244 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 237-238) and index What the Heck Is a Data Warehouse -- Why Should You Care? -- Data Warehouses, Data Marts -- What's in a Name? -- Myths & Misconceptions -- What Should You Eradicate? -- What Is Dirty Data -- How the Heck Does It Get There? -- Politics -- Who Owns It Anyway? -- Politics -- Who's Gonna Pay? -- Project Management -- Is It the Silver Bullet? -- Data Modeling -- Why do You Care? -- Case Studies -- Is There a Light at the End of the Tunnel? Annotation "Analyzing 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 Datais 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 endeavorsBlissful Dataincludes dozens of examples, as well as case studies illustrating successful, unsuccessful, and disastrous data warehouse strategies." BUSINESS & ECONOMICS / Information Management bisacsh BUSINESS & ECONOMICS / Knowledge Capital bisacsh Decision making / Data processing fast Management / Data processing fast Datenverarbeitung Wirtschaft Decision making Data processing Management Data processing http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=148994 Aggregator Volltext |
| spellingShingle | Chu, Margaret Y. Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees BUSINESS & ECONOMICS / Information Management bisacsh BUSINESS & ECONOMICS / Knowledge Capital bisacsh Decision making / Data processing fast Management / Data processing fast Datenverarbeitung Wirtschaft Decision making Data processing Management Data processing |
| title | Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees |
| title_auth | Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees |
| title_exact_search | Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees |
| title_full | Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees Margaret Y. Chu |
| title_fullStr | Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees Margaret Y. Chu |
| title_full_unstemmed | Blissful data wisdom and strategies for providing meaningful, useful, and accessible data for all employees Margaret Y. Chu |
| title_short | Blissful data |
| title_sort | blissful data wisdom and strategies for providing meaningful useful and accessible data for all employees |
| title_sub | wisdom and strategies for providing meaningful, useful, and accessible data for all employees |
| topic | BUSINESS & ECONOMICS / Information Management bisacsh BUSINESS & ECONOMICS / Knowledge Capital bisacsh Decision making / Data processing fast Management / Data processing fast Datenverarbeitung Wirtschaft Decision making Data processing Management Data processing |
| topic_facet | BUSINESS & ECONOMICS / Information Management BUSINESS & ECONOMICS / Knowledge Capital Decision making / Data processing Management / Data processing Datenverarbeitung Wirtschaft Decision making Data processing Management Data processing |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=148994 |
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