Analytics-driven IT platforms have become essential for organizations seeking integrated visibility across increasingly complex and interconnected enterprise functions. At a broad level, such platforms enable the consolidation of data from disparate operational domains, transforming fragmented information into coherent, real-time insights that support strategic planning and operational control. As supply chains globalize, financial operations accelerate, and commercial activities become more data-intensive, end-to-end visibility emerges as a critical determinant of efficiency, resilience, and competitive performance. This article examines the design of analytics-driven IT platforms that deliver end-to-end visibility across supply chains, finance operations, and commercial execution. It explores how modern data architectures integrate transactional systems, operational data sources, and external signals to create unified analytical layers. Within supply chains, analytics platforms support demand forecasting, inventory optimization, and disruption monitoring. In finance operations, they enable real-time performance tracking, cash flow visibility, and risk assessment. For commercial execution, analytics enhance pricing strategy, sales performance management, and customer behavior analysis, aligning market actions with operational and financial realities. The analysis narrows to the architectural and governance considerations underpinning effective platform design. Topics include data integration strategies, scalability, interoperability with legacy systems, and the role of advanced analytics and automation in generating actionable insights. Attention is also given to organizational alignment, data governance, and decision workflows that ensure analytics outputs translate into measurable business outcomes. The findings highlight that successful analytics-driven platforms are not merely technical solutions but enterprise-wide enablers that connect strategy with execution. By providing consistent, trusted, and timely insights across core business functions, these platforms strengthen organizational agility, improve decision quality, and support sustainable value creation in dynamic operating environments.