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Organizational strategy and data governance
[Stratégie des organisations et Gouvernance des données]

Author

Listed:
  • Ghislaine Chartron

    (DICEN-IDF - Dispositifs d'Information et de Communication à l'Ère du Numérique - Paris Île-de-France - UPN - Université Paris Nanterre - Cnam - Conservatoire National des Arts et Métiers [Cnam] - Université Gustave Eiffel)

Abstract

This article emphasizes that data governance is closely linked to strategic objectives and is not an end in itself. Based on various observations, it highlights that data governance rests on several pillars at the political, technical, and organizational levels. It then focuses on the human interactions that contribute to the development of data governance: use cases, collaboration between specialists, and mediation between business units and technical departments. The vision of a centralized, top-down governance model is then deconstructed by other observable dimensions: feedback from the context, differentiation of data scopes, and the defensive or offensive nature of governance. The acceleration of AI-driven projects is also highlighted as a factor that could increase the attention to data governance.

Suggested Citation

  • Ghislaine Chartron, 2025. "Organizational strategy and data governance [Stratégie des organisations et Gouvernance des données]," Post-Print hal-05380268, HAL.
    • Handle: RePEc:hal:journl:hal-05380268
    Note: View the original document on HAL open archive server: https://hal.science/hal-05380268v1
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    References listed on IDEAS

    as
    1. Abraham, Rene & Schneider, Johannes & vom Brocke, Jan, 2019. "Data governance: A conceptual framework, structured review, and research agenda," International Journal of Information Management, Elsevier, vol. 49(C), pages 424-438.
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