- Data migration is an important process that requires careful planning and execution to avoid issues that can negatively impact a company's operations, customer relationships, and revenue. - An effective data migration strategy involves identifying stakeholders, understanding the existing and target data, preparing both the data and the destination system, completing test migrations, and then migrating and validating the full data set. - Common issues include poor data quality, insufficient tools and resources, failure to properly structure data for the new system, lack of testing, and unanticipated exceptions. Using the right tools, starting early, thorough testing, and verifying results can help avoid problems.