Data migration is a critical phase in the implementation of any enterprise system. It involves transferring data from legacy systems to a new platform while ensuring its accuracy, consistency, and usability. The success of an enterprise system often hinges on the quality and completeness of this migration process. For social security administrations, data migration presents unique challenges due to the complexity of historical records, regulatory requirements, and the sensitive nature of the data involved. The complexity of Social Security data is compounded by the frequent changes in legislation over time. Contributions, credits, and benefit calculations often depend on laws that have evolved significantly. For example, tax rates, minimum earnings thresholds, and contribution limits may vary by year, and systems must account for these differences during benefit processing. Furthermore, Social Security organizations often transition through multiple systems as technology advances. Many began by managing records on paper, moved to early computer...