Data normalization is the process of standardizing CRM data formats to improve accuracy, usability, and consistency across different systems. It eliminates redundancy, organizes information into structured formats, and ensures that data fields follow a common standard. For example, standardizing phone numbers by including country codes prevents errors when integrating CRM data with telemarketing software. Normalization is particularly important during data migration, preventing mismatches between legacy and new CRM systems. AI-driven CRMs automatically detect inconsistencies and suggest corrections to maintain clean data. By implementing data normalization, businesses enhance reporting accuracy, improve automation efficiency, and streamline customer interactions across departments.