Last edited by Arakus
Monday, April 20, 2020 | History

9 edition of Executing data quality projects found in the catalog.

Executing data quality projects

ten steps to quality data and trusted information

by Danette McGilvray

  • 278 Want to read
  • 8 Currently reading

Published by Morgan Kaufmann in Burlington, MA .
Written in English

    Subjects:
  • Information technology -- Management,
  • Electronic data processing -- Quality control

  • Edition Notes

    Includes bibliographical references and index.

    StatementDanette McGilvray.
    Classifications
    LC ClassificationsHD30.2 .M397 2008
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL16728519M
    ISBN 109780123743695
    LC Control Number2008013824


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Executing data quality projects by Danette McGilvray Download PDF EPUB FB2

Download PDF Executing Data Quality Projects book full free. Executing Data Quality Projects available for download and read online in other formats. Simply put, information quality is providing the correct set of accurate information, at the correct time and place, to the correct people.

Executing Data Quality Projects von Danette McGilvray (ISBN ) online kaufen | Sofort-Download - Edition: 1. Auflage. Data QualityA Survey of Data Quality [14] D.

McGilvr ay, Executing data quality projects: Ten steps t o quality. data and truste d information: Morg an K aufmann, Join Danette McGilvray, author of Executing Data Quality Projects discussing her upcoming conference circuit including IRMUK and Technology Transfer. Data Quality Dimensions.

A data quality dimension is an aspect or feature of information and a way to classify information and data quality needs. Dimensions are used to define, measure, and manage the quality of the data and information.

• In order to improve information quality, there must be a way to measure it.