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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Bibliographic Details
Main Author:	Sebastian-Coleman, Laura (Data quality author and practitioner)
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Language Notes:	English.
Published:	Burlington : Elsevier Science, 2013.
Series:	Morgan Kaufmann Series on Business Intelligence.
Subjects:	Data structures (Computer science) Databases > Quality control. Database management. Structures de données (Informatique) Bases de données > Gestion. REFERENCE > Research. Database management Databases > Quality control Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references and index.
ISBN:	9780123977540 0123977541