Optimizing Enterprise-Level Data Migration Strategies

Abstract

This paper, "Optimizing Enterprise-Level Data Migration Strategies," explores the critical process of data migration in the realm of information technology, essential for system upgrades, data center consolidations, and application integrations. Highlighting the significance of data migration for maintaining operational continuity and leveraging new technologies, the study identifies key challenges such as data quality issues, complex data mapping, system compatibility, and risks of data loss. To address these, the paper proposes optimization strategies including phased migration approaches, leveraging automated tools, and implementing robust data governance practices. The study also reviews the evolution of data migration techniques, current trends like cloud-based migration and automation, and theoretical models guiding the process. By examining these aspects, the paper aims to provide valuable insights and practical recommendations for enterprises to enhance their data migration processes, ensuring accuracy, efficiency, and minimal disruption to business operations.