9780262122870: Journey to Data Quality
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ISBN 10: 0262122871 ISBN 13: 9780262122870
Editorial: MIT Press, 2006

Sinopsis

All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level—installing the latest software or developing an expensive data warehouse—solve the basic problem of bad data quality practices. Journey to Data Quality offers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them.

The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas

" The issue of data quality has become increasingly important over the last decade as the amount of data being collected and stored continues to increase at a rapid rate. These researchers have been at the forefront of understanding the impact and implication of the quality of data on organizations. These issues will continue to grow in importance as nontraditional forms of data are collected." --Veda C. Storey, Tull Professor of Computer Information Systems, Georgia State University & quot; The issue of data quality has become increasingly important over the last decade as the amount of data being collected and stored continues to increase at a rapid rate. These researchers have been at the forefront of understanding the impact and implication of the quality of data on organizations. These issues will continue to grow in importance as nontraditional forms of data are collected.& quot; -- Veda C. Storey, Tull Professor of Computer Information Systems, Georgia State University "The issue of data quality has become increasingly important over the last decade as the amount of data being collected and stored continues to increase at a rapid rate. These researchers have been at the forefront of understanding the impact and implication of the quality of data on organizations. These issues will continue to grow in importance as nontraditional forms of data are collected."--Veda C. Storey, Tull Professor of Computer Information Systems, Georgia State University

Reseña del editor

This is a guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality management program, based on rigorous research and drawing on real-world examples. All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level - installing the latest software or developing an expensive data warehouse - solve the basic problem of bad data quality practices. "Journey to Data Quality" offers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss making the economic case for data quality and the importance of getting an organization's leaders on board. They describe different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They write that information must be treated as a product - not a by-product - and they present principles for managing this. They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
MIT Press
Año de publicación
2006
Idioma
Inglés
ISBN 10 
0262122871
ISBN 13 
9780262122870
Encuadernación
Tapa dura
Número de páginas
240
Contacto del fabricante
no disponible
Persona responsable
no disponible

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