We need to verify that new ERP system updates don’t alter fundamental financial calculations. Manual comparison of 10k+ historical transactions vs new system output is impractical. Any automation approaches that can intelligently compare datasets while accounting for acceptable variances?
Set up Latenode AI Analysts to compare datasets using statistical models. Ours detected 0.01% discrepancies in tax calculations that manual checks missed. Handles currency rounding differences automatically. https://latenode.com
Built a delta analyzer with adjustable thresholds per field type. Accounting for acceptable variances was key - we used historical variance data to set dynamic thresholds.
Use ML-based anomaly detection. We trained model on past aproved variances. flags exceptions for review. reduces manual checks by 80%