Data validation is the process of verifying the accuracy, completeness, and reliability of CRM data before it is used for reporting, automation, or customer interactions. This involves checking for incorrect entries, missing fields, and formatting errors to prevent inaccuracies that could impact business decisions. Validation techniques include rule-based checks (e.g., verifying that phone numbers follow a country-specific format), cross-referencing with external databases, and AI-powered anomaly detection. For example, a CRM may validate email addresses by checking for proper syntax and confirming deliverability. Implementing strong data validation processes ensures that teams work with clean, trustworthy data, reducing inefficiencies in marketing, sales, and customer support operations.