It is crucial to thoroughly prepare data and systems before a data migration by performing a landscape analysis of the source and target systems, validating data quality through profiling and cleansing, and analyzing the impact of data changes. The guide outlines steps for landscape analysis, data assurance including profiling, quality definition and cleansing, verification, and impact analysis to maximize the chances of a successful migration project.