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Analysis of strategies for improving data-driven decision-making in cross-functional teams, indicating key infrastructure needs and governance frameworks.
The integration of Business Intelligence (BI) and Generative AI (GenAI) into cross-functional teams has emerged as a transformative strategy for enterprises aiming to harness data-driven decision-making. This paper explores the challenges, methodologies, and future directions for managing such teams, emphasizing technical infrastructure, collaborative workflows, and governance frameworks. By synthesizing insights from industry surveys, academic research, and technological advancements up to 2024, we propose actionable strategies for optimizing interdisciplinary collaboration, mitigating technical and organizational barriers, and aligning with ethical AI standards. Key findings highlight the criticality of unified data pipelines, adaptive management practices, and stakeholder-centric performance metrics.
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Suresh Kotha (2025) studied this question.
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