Analysis of consumers’ requirements for data/information quality by using HOQ
Keqin Wang,
Shurong Tong,
Lionel Roucoules () and
Benoît Eynard ()
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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
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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.
Keywords: Technology management; Quality management; Data analysis; Automotive materials; Databases; Information systems; Usability; Mechanical systems; Quality function deployment; Information analysis (search for similar items in EconPapers)
Date: 2008-12-08
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Published in 2008 IEEE International Conference on Industrial Engineering and Engineering Management, Dec 2008, Singapore, Singapore. pp.213-217, ⟨10.1109/IEEM.2008.4737862⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02540099
DOI: 10.1109/IEEM.2008.4737862
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