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Reconciling complex organizations and data management

  • Eric Buffenoir

    ()

    (Théorie des Champs & Physique Mathématique - L2C - Laboratoire Charles Coulomb - UM2 - Université Montpellier 2 - Sciences et Techniques - CNRS - Centre National de la Recherche Scientifique)

  • Isabelle Bourdon

    ()

    (Système d'Information - MRM - Montpellier Research in Management - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - Université Paul Valéry - Montpellier III - UM2 - Université Montpellier 2 - Sciences et Techniques - UM1 - Université Montpellier 1)

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    These last years, main IT companies have build software solutions and change management plans promoting data quality management within organizations concerned by the enhancement of their business intelligence system. These offers are closely similar data governance schemes based on a common paradigm called Master Data Management. These schemes appear generally inappropriate to the context of complex extended organizations. On the other hand, the community-based data governance schemes have shown their own efficiency to contribute to the reliability of data in digital social networks, as well as their ability to meet user expectations. After a brief analysis of the very specific constraints weighting on extended organization's data governance, and of peculiarities of monitoring and regulatory processes associated to management control and IT within these, we propose a new scheme inspired by Foucaldian analysis on governmentality: the Panopticon data governance paradigm.

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    Date of creation: 23 Oct 2012
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    Handle: RePEc:hal:wpaper:hal-00744410
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00744410v2
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