"Data reconciliation" in business intelligence involves the process of ensuring data consistency and accuracy across various sources and systems. This practice is critical for validating data integrity, identifying discrepancies, and maintaining a single source of truth for analysis. During reconciliation, organizations compare datasets to resolve inconsistencies, leveraging tools that automate this process. Effective data reconciliation enhances decision-making, improves reporting capabilities, and ensures that strategies are based on reliable, accurate information.