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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
Clasificación:Libro Electrónico
Autor principal: Sebastian-Coleman, Laura (Data quality author and practitioner)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington : Elsevier Science, 2013.
Colección:Morgan Kaufmann Series on Business Intelligence.
Temas:
Acceso en línea:Texto completo
Texto completo

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520 |a 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. 
505 0 |a Concepts and definitions -- DQAF concepts and measurement types -- Data assessment scenarios -- Applying the DQAF to data requirements -- A strategic approach to data quality -- The DQAF in dept. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
546 |a English. 
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