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Abstract
Organizations today grapple with fragmented data ecosystems—isolated silos that hamper analytics, delay decision-making, and inflate operational costs. This paper examines the evolution from siloed architectures to unified, intelligence-driven data strategies. We explore the technical, organizational, and governance dimensions that underpin scalable, flexible data platforms. Through a synthesis of industry frameworks, architectural patterns, and real-world case studies, we propose a roadmap for enterprises to integrate disparate data sources, enable self-service analytics, and harness unified intelligence for sustainable competitive advantage.
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