Measuring data quality for ongoing improvement a data quality assessment framework

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions o...

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Detalles Bibliográficos
Autor principal: Sebastian-Coleman, Laura (Data quality author and practitioner) (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Waltham, Mass. : Elsevier 2013.
Waltham, MA : 2013.
Edición:1st edition
Colección:Morgan Kaufmann Series on Business Intelligence
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628564906719
Descripción
Sumario:The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides p
Notas:Description based upon print version of record.
Descripción Física:1 online resource (xxxix, 324, 39 pages) : color illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781283933186
9780123977540