The practitioner's guide to data quality improvement:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Burlington, MA
Morgan Kaufmann
©2011
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes index Business problems are directly related to missed data quality expectations. Flawed information production processes introduce risks preventing the successful achievement of critical business objectives. However, these flaws are mitigated through data quality management and control: controlling the quality of the information production process from beginning to end to ensure that any imperfections are identified early, prioritized, and remediated before material impacts can be incurred. The Practitioner's Guide to Data Quality Improvement shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. This book shares templates and processes for business impact analysis, defining data quality metrics, inspection and monitoring, remediation, and using data quality tools. Never shying away from the difficult topics or subjects, this is the seminal book that offers advice on how to actually get the job done. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xxiii, 398 pages) |
| ISBN: | 9780123737175 0123737176 9780080920344 0080920349 |
Internformat
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| 500 | |a Includes index | ||
| 500 | |a Business problems are directly related to missed data quality expectations. Flawed information production processes introduce risks preventing the successful achievement of critical business objectives. However, these flaws are mitigated through data quality management and control: controlling the quality of the information production process from beginning to end to ensure that any imperfections are identified early, prioritized, and remediated before material impacts can be incurred. The Practitioner's Guide to Data Quality Improvement shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. This book shares templates and processes for business impact analysis, defining data quality metrics, inspection and monitoring, remediation, and using data quality tools. Never shying away from the difficult topics or subjects, this is the seminal book that offers advice on how to actually get the job done. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Database management / Quality control | |
| 650 | 4 | |a Databases / Quality control | |
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Datensatz im Suchindex
| _version_ | 1806775961779175424 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Loshin, David |
| author_facet | Loshin, David |
| author_role | aut |
| author_sort | Loshin, David |
| author_variant | d l dl |
| building | Verbundindex |
| bvnumber | BV042300715 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (OCoLC)690641336 (DE-599)BVBBV042300715 |
| dewey-full | 005.7406 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7406 |
| dewey-search | 005.7406 |
| dewey-sort | 15.7406 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
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| isbn | 9780123737175 0123737176 9780080920344 0080920349 |
| language | English |
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| spelling | Loshin, David Verfasser aut The practitioner's guide to data quality improvement David Loshin Burlington, MA Morgan Kaufmann ©2011 1 Online-Ressource (xxiii, 398 pages) txt rdacontent c rdamedia cr rdacarrier Includes index Business problems are directly related to missed data quality expectations. Flawed information production processes introduce risks preventing the successful achievement of critical business objectives. However, these flaws are mitigated through data quality management and control: controlling the quality of the information production process from beginning to end to ensure that any imperfections are identified early, prioritized, and remediated before material impacts can be incurred. The Practitioner's Guide to Data Quality Improvement shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. This book shares templates and processes for business impact analysis, defining data quality metrics, inspection and monitoring, remediation, and using data quality tools. Never shying away from the difficult topics or subjects, this is the seminal book that offers advice on how to actually get the job done. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning Includes bibliographical references and index Database management / Quality control Databases / Quality control COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / Database Management / General bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Database management / Quality control fast Databases / Quality control fast Database management Quality control Databases Quality control Qualitätsmanagement (DE-588)4219057-5 gnd rswk-swf Daten (DE-588)4135391-2 gnd rswk-swf Informationssystem (DE-588)4072806-7 gnd rswk-swf Informationssystem (DE-588)4072806-7 s Daten (DE-588)4135391-2 s Qualitätsmanagement (DE-588)4219057-5 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780123737175 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Loshin, David The practitioner's guide to data quality improvement Database management / Quality control Databases / Quality control COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / Database Management / General bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Database management / Quality control fast Databases / Quality control fast Database management Quality control Databases Quality control Qualitätsmanagement (DE-588)4219057-5 gnd Daten (DE-588)4135391-2 gnd Informationssystem (DE-588)4072806-7 gnd |
| subject_GND | (DE-588)4219057-5 (DE-588)4135391-2 (DE-588)4072806-7 |
| title | The practitioner's guide to data quality improvement |
| title_auth | The practitioner's guide to data quality improvement |
| title_exact_search | The practitioner's guide to data quality improvement |
| title_full | The practitioner's guide to data quality improvement David Loshin |
| title_fullStr | The practitioner's guide to data quality improvement David Loshin |
| title_full_unstemmed | The practitioner's guide to data quality improvement David Loshin |
| title_short | The practitioner's guide to data quality improvement |
| title_sort | the practitioner s guide to data quality improvement |
| topic | Database management / Quality control Databases / Quality control COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / Database Management / General bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Database management / Quality control fast Databases / Quality control fast Database management Quality control Databases Quality control Qualitätsmanagement (DE-588)4219057-5 gnd Daten (DE-588)4135391-2 gnd Informationssystem (DE-588)4072806-7 gnd |
| topic_facet | Database management / Quality control Databases / Quality control COMPUTERS / Desktop Applications / Databases COMPUTERS / Database Management / General COMPUTERS / System Administration / Storage & Retrieval Database management Quality control Databases Quality control Qualitätsmanagement Daten Informationssystem |
| url | http://www.sciencedirect.com/science/book/9780123737175 |
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