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Data verification methods include manual checks, where data is compared against source documents or databases to ensure accuracy, and automated validation processes, which utilize algorithms to identify discrepancies or errors. Cross-referencing data with external sources or using checksum algorithms to verify data integrity are also common methods. Additionally, data profiling tools can analyze data sets to detect anomalies and ensure consistency. These methods enhance data reliability and support informed decision-making.

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