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Cover: 9780123737175 | The Practitioner's Guide to Data Quality Improvement | David Loshin
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The Practitioner's Guide to Data Quality Improvement
Taschenbuch von David Loshin
Sprache: Englisch

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Beschreibung
Information is an asset that is generated through numerous processes, with multiple feeds of raw data that are combined, processed, and fed out to multiple customers both inside and outside your organization. Many business problems can be directly tied to a situation in which data quality is below expectations. This can, however, be mitigated by closely controlling the quality of the process, overseeing the activities from beginning to end, and ensuring that any imperfections are identified as early as possible. The Practitioner's Guide to Data Quality Improvement provides readers with the fundamentals for developing an enterprise data quality program, and it serves as a guide for both the practitioner and the manager in establishing a data quality center of excellence. Readers are presented with information about business case templates, characterization of business impacts, correlated metrics, visualization and reporting, and the use of data quality tools. This seminal text offers advice on how to actually get the job done, not shying away from difficult topics or subjects.
Information is an asset that is generated through numerous processes, with multiple feeds of raw data that are combined, processed, and fed out to multiple customers both inside and outside your organization. Many business problems can be directly tied to a situation in which data quality is below expectations. This can, however, be mitigated by closely controlling the quality of the process, overseeing the activities from beginning to end, and ensuring that any imperfections are identified as early as possible. The Practitioner's Guide to Data Quality Improvement provides readers with the fundamentals for developing an enterprise data quality program, and it serves as a guide for both the practitioner and the manager in establishing a data quality center of excellence. Readers are presented with information about business case templates, characterization of business impacts, correlated metrics, visualization and reporting, and the use of data quality tools. This seminal text offers advice on how to actually get the job done, not shying away from difficult topics or subjects.
Über den Autor
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including "Master Data Management" (2008) and "Business Intelligence - The Savvy Manager's Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.
Inhaltsverzeichnis

Preface Chapter 1: Business Impacts of Poor Data Quality Chapter 2: The Organizational Data Quality Program Chapter 3: Data Quality Maturity Chapter 4: Enterprise Initiative Integration Chapter 5: Developing a Business Case and a Data Quality Roadmap Chapter 6: Metrics and Performance Improvement Chapter 7: Data Governance Chapter 8: Dimensions of Data Quality Chapter 9: Data Requirement Analysis Chapter 10: Metadata and Data Standard Chapter 11: Data Quality Assessment Chapter 12: Remediation and Improvement Planning Chapter 13: Data Quality Service Level Agreements Chapter 14: Data Profiling Chapter 15: Parsing and Standardization Chapter 16: Entity Identity Resolution Chapter 17: Inspection, Monitoring, Auditing, and Tracking Chapter 18: Data Enhancement Chapter 19: Master Data Management and Data Quality Chapter 20: Bringing It All Together

Details
Erscheinungsjahr: 2010
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 432
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780123737175
ISBN-10: 0123737176
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Loshin, David
Hersteller: Elsevier Science & Technology
Maße: 232 x 193 x 25 mm
Von/Mit: David Loshin
Erscheinungsdatum: 22.11.2010
Gewicht: 0,743 kg
preigu-id: 107437241
Über den Autor
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including "Master Data Management" (2008) and "Business Intelligence - The Savvy Manager's Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.
Inhaltsverzeichnis

Preface Chapter 1: Business Impacts of Poor Data Quality Chapter 2: The Organizational Data Quality Program Chapter 3: Data Quality Maturity Chapter 4: Enterprise Initiative Integration Chapter 5: Developing a Business Case and a Data Quality Roadmap Chapter 6: Metrics and Performance Improvement Chapter 7: Data Governance Chapter 8: Dimensions of Data Quality Chapter 9: Data Requirement Analysis Chapter 10: Metadata and Data Standard Chapter 11: Data Quality Assessment Chapter 12: Remediation and Improvement Planning Chapter 13: Data Quality Service Level Agreements Chapter 14: Data Profiling Chapter 15: Parsing and Standardization Chapter 16: Entity Identity Resolution Chapter 17: Inspection, Monitoring, Auditing, and Tracking Chapter 18: Data Enhancement Chapter 19: Master Data Management and Data Quality Chapter 20: Bringing It All Together

Details
Erscheinungsjahr: 2010
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 432
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780123737175
ISBN-10: 0123737176
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Loshin, David
Hersteller: Elsevier Science & Technology
Maße: 232 x 193 x 25 mm
Von/Mit: David Loshin
Erscheinungsdatum: 22.11.2010
Gewicht: 0,743 kg
preigu-id: 107437241
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