Organizational strategy and data governance

Stratégie des organisations et Gouvernance des données

Ghislaine Chartron ()
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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

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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.

Keywords: AI; human-data interaction; usage framework; organization; data governance; Strategy; IA; homme-données; cadre d'usage; organisation; gouvernance des données; Stratégie (search for similar items in EconPapers)
Date: 2025-11-20
New Economics Papers: this item is included in nep-eur
Note: View the original document on HAL open archive server: https://hal.science/hal-05380268v1
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Published in CIDE24- Fabrique des données dans les organisations, Université Bordeaux Montaigne, Nov 2025, Bordeaux, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05380268

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