Enterprise business intelligence platform migration represents a critical organizational transformation requiring careful orchestration of technical, financial, and human factors. The comprehensive framework presented addresses the multifaceted challenges organizations face when transitioning from legacy reporting systems to modern analytics platforms. Strategic assessment begins with systematic usage evaluation and asset prioritization, enabling informed decisions about migration scope and resource allocation. Platform evaluation encompasses total cost of ownership considerations, feature compatibility assessment, and long-term scalability requirements. Technical validation ensures seamless transition through systematic documentation of data dependencies, function compatibility testing, and proof-of-concept development for complex reporting assets. The implementation framework emphasizes parallel system operation during migration phases, comprehensive user acceptance testing protocols, and iterative feedback incorporation. Change management strategies focus on stakeholder communication, training program development, and phased decommissioning processes that minimize operational disruption. Organizations implementing this systematic framework achieve successful platform transitions while maintaining data integrity, user adoption, and business continuity. The methodology provides practical guidance for managing complex enterprise migrations, addressing both immediate technical requirements and long-term organizational objectives through structured implementation phases.