Name: The Practitioner's Guide to Data Quality Improvement (The Morgan Kaufmann Series on Business Intelligence) (en Inglés)
Price: 227.62 PEN
Availability: InStock
Author: David Loshin
ISBN: 9780123737175

portada The Practitioner's Guide to Data Quality Improvement (The Morgan Kaufmann Series on Business Intelligence) (en Inglés)

The Practitioner's Guide to Data Quality Improvement (The Morgan Kaufmann Series on Business Intelligence) (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann

Autor

David Loshin

Año

2010

Idioma

Inglés

N° páginas

432

Encuadernación

Tapa Blanda

ISBN

0123737176

ISBN13

9780123737175

N° edición

Categorías

Ciencias de la computación

The Practitioner's Guide to Data Quality Improvement (The Morgan Kaufmann Series on Business Intelligence) (en Inglés)

David Loshin (Autor) · Morgan Kaufmann · Tapa Blanda

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Reseña del libro "The Practitioner's Guide to Data Quality Improvement (The Morgan Kaufmann Series on Business Intelligence) (en Inglés)"

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.