Data Reconciliation
**Data Reconciliation**
What is Data Reconciliation?
Data reconciliation is the process of identifying and resolving discrepancies between multiple sources of the same data. It involves comparing data sets, identifying differences (e.g., missing records, incorrect values, format inconsistencies), and applying rules or procedures to correct these errors and ensure data consistency. Common uses include financial systems (reconciling bank statements with internal records), inventory management (matching physical stock with system data), and data migration/integration projects (verifying data integrity after moving data between systems). The goal is to maintain a single, accurate, and reliable version of the truth.
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