Executing data quality projects: ten steps to quality data and trusted information
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Morgan Kaufmann/Elsevier
c2008
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions. Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach. * Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices. * A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online Includes bibliographical references (p. [303]-306) and index |
| Beschreibung: | 1 Online-Ressource (xviii, 325 p.) |
| ISBN: | 0080558399 9780080558394 9780123743695 0123743699 |
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| 500 | |a Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions. Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach. * Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices. * A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online | ||
| 500 | |a Includes bibliographical references (p. [303]-306) and index | ||
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| 650 | 7 | |a Information technology / Management |2 fast | |
| 650 | 4 | |a Datenverarbeitung | |
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Datensatz im Suchindex
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| author | McGilvray, Danette |
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| dewey-full | 658.4/04 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/04 |
| dewey-search | 658.4/04 |
| dewey-sort | 3658.4 14 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| isbn | 0080558399 9780080558394 9780123743695 0123743699 |
| language | English |
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| spelling | McGilvray, Danette Verfasser aut Executing data quality projects ten steps to quality data and trusted information Danette McGilvray Amsterdam Morgan Kaufmann/Elsevier c2008 1 Online-Ressource (xviii, 325 p.) txt rdacontent c rdamedia cr rdacarrier Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions. Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach. * Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices. * A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online Includes bibliographical references (p. [303]-306) and index TECHNOLOGY & ENGINEERING / Project Management bisacsh BUSINESS & ECONOMICS / Project Management bisacsh Electronic data processing / Quality control fast Information technology / Management fast Datenverarbeitung Wirtschaft Information technology Management Electronic data processing Quality control Unternehmen (DE-588)4061963-1 gnd rswk-swf Informationsqualität (DE-588)4793947-3 gnd rswk-swf Unternehmen (DE-588)4061963-1 s Informationsqualität (DE-588)4793947-3 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780123743695 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | McGilvray, Danette Executing data quality projects ten steps to quality data and trusted information TECHNOLOGY & ENGINEERING / Project Management bisacsh BUSINESS & ECONOMICS / Project Management bisacsh Electronic data processing / Quality control fast Information technology / Management fast Datenverarbeitung Wirtschaft Information technology Management Electronic data processing Quality control Unternehmen (DE-588)4061963-1 gnd Informationsqualität (DE-588)4793947-3 gnd |
| subject_GND | (DE-588)4061963-1 (DE-588)4793947-3 |
| title | Executing data quality projects ten steps to quality data and trusted information |
| title_auth | Executing data quality projects ten steps to quality data and trusted information |
| title_exact_search | Executing data quality projects ten steps to quality data and trusted information |
| title_full | Executing data quality projects ten steps to quality data and trusted information Danette McGilvray |
| title_fullStr | Executing data quality projects ten steps to quality data and trusted information Danette McGilvray |
| title_full_unstemmed | Executing data quality projects ten steps to quality data and trusted information Danette McGilvray |
| title_short | Executing data quality projects |
| title_sort | executing data quality projects ten steps to quality data and trusted information |
| title_sub | ten steps to quality data and trusted information |
| topic | TECHNOLOGY & ENGINEERING / Project Management bisacsh BUSINESS & ECONOMICS / Project Management bisacsh Electronic data processing / Quality control fast Information technology / Management fast Datenverarbeitung Wirtschaft Information technology Management Electronic data processing Quality control Unternehmen (DE-588)4061963-1 gnd Informationsqualität (DE-588)4793947-3 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Project Management BUSINESS & ECONOMICS / Project Management Electronic data processing / Quality control Information technology / Management Datenverarbeitung Wirtschaft Information technology Management Electronic data processing Quality control Unternehmen Informationsqualität |
| url | http://www.sciencedirect.com/science/book/9780123743695 |
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