Common challenges include resistance to change, data migration issues, customization needs, integration problems, cost overruns, scope creep, and insufficient training. These can be overcome by involving users early, ensuring data quality, balancing customization, choosing compatible systems, setting a realistic budget, defining project scope, and providing comprehensive training.