In data migration, it's common for source and target systems to have differences in their customization. These variances directly impact the data migration process. During the Design & Build phase, it's crucial to analyze these conflicts and translate them into transformation/mapping rules. This process requires considerable effort. However, by introducing automation, this effort can be significantly reduced, and the quality level of mapping rules can be enhanced in the early stages of the project. This approach not only streamlines the migration process but also ensures greater accuracy and efficiency.