A data discrepancy occurs when inconsistencies, mismatches, or errors exist between CRM data sources, leading to inaccurate insights and decision-making. Common causes include misaligned data fields, manual entry errors, and integration failures between CRM and other business tools. For example, a CRM might record a customer as an active user, while an email marketing platform lists them as unsubscribed. Businesses use data validation, synchronization tools, and AI-driven reconciliation processes to detect and correct discrepancies. Maintaining data consistency across platforms ensures accurate reporting and reliable customer analytics.