Strategic Frameworks for Modernizing Enterprise Data Platforms in the Cloud: From Infrastructure Migration to Business Value Realization

Abstract

Enterprise data platforms are undergoing significant transformation as organizations seek to overcome the limitations of traditional infrastructures that struggle with modern analytics demands. This article presents strategic frameworks for modernizing data platforms using cloud-native principles, examining approaches from lift-and-shift migration to complete architectural redesign. It explores how semantic modeling creates a critical bridge between technical data structures and business understanding, enabling standardized metrics and consistent reporting across the enterprise. The discussion encompasses key considerations, including governance, cost management, and organizational readiness, while highlighting how strategic modernization delivers faster analytics, improved data access, and readiness for artificial intelligence integration. By implementing these frameworks, organizations can build future-ready data architectures that support agility, innovation, and data-driven decision-making at scale.