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Reconciling complex organizations and data management

Listed author(s):
  • Eric Buffenoir


    (Théorie des Champs & Physique Mathématique - L2C - Laboratoire Charles Coulomb - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique)

  • Isabelle Bourdon


    (Système d'Information - MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UM3 - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

Registered author(s):

    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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    Paper provided by HAL in its series Working Papers with number hal-00744410.

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    Date of creation: 23 Oct 2012
    Handle: RePEc:hal:wpaper:hal-00744410
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