Leading American Bank
Improves regulatory data accuracy by 75%
Better insights, efficiency, and compliance on top of their Snowflake stack.
The problem
The bank's regulatory reporting team faced recurring data accuracy issues originating from inconsistencies in Snowflake tables fed by multiple source systems. Reconciliation before each regulatory filing was manual, error-prone, and consumed weeks of analyst time.
How Qelvora helped
Qelvora was deployed natively on Snowflake with no data movement. ML anomaly detection identified accuracy drift in key regulatory tables, and lineage views mapped each metric back to its originating source system for fast root-cause analysis.
The outcome
Regulatory filing preparation went from weeks to days, with automated quality checks replacing manual reconciliation. The compliance team had a single dashboard showing accuracy scores across all reportable data assets.
See Qelvora in action
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