IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02540099.html
   My bibliography  Save this paper

Analysis of consumers’ requirements for data/information quality by using HOQ

Author

Listed:
  • Keqin Wang

    (NPU - Northernwest Polytechnical University [Xi'an])

  • Shurong Tong

    (NPU - Northernwest Polytechnical University [Xi'an])

  • Lionel Roucoules

    (LASMIS - Laboratoire des Systèmes Mécaniques et d'Ingénierie Simultanée - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique)

  • Benoît Eynard

    (Roberval - Roberval - UTC - Université de Technologie de Compiègne)

Abstract

Data/information quality (DQ/IQ*) has great impact on data consumers' decisions. In order to provide high quality data/information, data consumers' requirements for DQ/IQ have to be analyzed and identified. Right requirement identification is fundamental to data quality control activities including DQ/IQ measurement, evaluation, improvement, etc. Quality function deployment (QFD) and the house of quality (HOQ) are effective tools to translate consumers' requirements into specific DQ dimensions for DQ improvement. This work briefly introduces QFD, HOQ and their constitutive elements. Data consumers are also examined. A methodology of applying HOQ in DQ/IQ, which includes five major steps, is described in details. Then an example of product design information quality is presented. By using the methodology, the weak points of DQ in industrial firms can be identified in the form of DQ dimensions in order to take actions to improve data/information quality.

Suggested Citation

  • Keqin Wang & Shurong Tong & Lionel Roucoules & Benoît Eynard, 2008. "Analysis of consumers’ requirements for data/information quality by using HOQ," Post-Print hal-02540099, HAL.
  • Handle: RePEc:hal:journl:hal-02540099
    DOI: 10.1109/IEEM.2008.4737862
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02540099. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.