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Measuring data quality for ongoing improvement: a data quality assessment framework

<i> The Data Quality Assessment Framework </i>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 o...

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Detalles Bibliográficos
Autor principal: Sebastian-Coleman, Laura
Lenguaje:eng
Publicado: Elsevier Science 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/2122795
Descripción
Sumario:<i> The Data Quality Assessment Framework </i>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 pra