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

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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
Call Number:Libro Electrónico
Main Author: Sebastian-Coleman, Laura (Data quality author and practitioner)
Format: Electronic eBook
Language:Inglés
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
Online Access:Texto completo
Texto completo
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

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