Tartaglia, Camilla (A.A. 2024/2025) Data governance: a case study in a multinational pharmaceutical organization. Tesi di Laurea in Data science and management, Luiss Guido Carli, relatore Irene Finocchi, pp. 110. [Master's Degree Thesis]

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Abstract/Index

Understanding data governance. Defining data governance. Core components of data governance. Master data and its role in governance. Sector-specific considerations in pharma. Data governance and artificial intelligence. Challenges in data governance for ai systems. Current state of data governance practices in ai development. Focus on the pharmaceutical sector: ai use cases and governance gaps. Addressing the gaps-techniques and best practices. From fragmented accountability to federated control: a polycentric and layered governance solution. Making governance valuable, visible and investable. Designing for trust: transparency, fairness and explainability. Readiness to govern: infrastructure, standards and scalability. Toward scalable and responsible data governance in ai-driven pharmaceutical enterprises. Case study-strengthening data governance in a global pharmaceutical ERP transformation. Overview of the company’s use of ai and data infrastructure. Governance challenges and opportunities identified. Application of best practices: data governance strategy and bias mitigation.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	Data science and management
Thesis Supervisor:	Finocchi, Irene
Thesis Co-Supervisor:	Kazemargi, Niloofar
Academic Year:	2024/2025
Session:	Summer
Additional Information:	Tesi discussa all'estero.
Deposited by:	Alessandro Perfetti
Date Deposited:	16 Sep 2025 08:25
Last Modified:	16 Sep 2025 08:25
URI:	https://tesi.luiss.it/id/eprint/43174

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