Migrating legacy data to modern cloud-based systems is a complex process that involves more than just transferring information; it requires careful planning to avoid issues such as broken reports, missing records, and compliance challenges. Legacy systems often contain outdated data types, incomplete documentation, and hard-coded business logic that complicate migration. Without a solid plan, data can become inconsistent or fail to function as expected in new environments. Automated tools, like Datafold's Data Migration Agent (DMA), help by converting and validating legacy code, ensuring data integrity through real-time comparisons and automated validation. This approach mitigates risks associated with schema mismatches, missing or duplicated records, and inconsistencies in data types or indexing structures, which can lead to significant business disruptions. A structured approach that includes automation, validation, and continuous monitoring ensures a smoother migration, catching potential errors before they impact operations and allowing businesses to move forward with confidence.