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In today’s volatile and fast-paced digital economy, organizations are increasingly required to make timely, data-informed decisions while maintaining flexibility and responsiveness. This paper presents a robust conceptual framework designed to accelerate data-centric decision-making in agile business environments through the strategic integration of cloud-based platforms. The framework comprises four interdependent components: data acquisition and integration, analytics and insight generation, decision orchestration, and feedback and learning loops. Leveraging a design science research methodology, the study synthesizes insights from academic literature, case studies, expert interviews, and surveys to ensure both theoretical soundness and practical relevance. The framework was validated through expert consensus and real-world implementation in two organizations, demonstrating enhanced decision velocity, improved data utilization, and greater alignment with agile principles. Practical implications include guidance for adopting cloud-native analytics tools, optimizing workflows, and enabling decentralized teams. The paper concludes with future research directions focused on integrating emerging technologies and expanding empirical validation across industries.
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