This solution brief focuses on ensuring reliable foreign exchange (FX) rate data through automated, AI-driven data quality checks. It explains how managing thousands of potential currency pairs with manual rules is unsustainable and introduces significant financial risk. Collibra Data Quality automatically profiles FX data, detects anomalies, tracks currency pairs, identifies schema changes, and avoids the need for static rule maintenance. Machine-learning-based adaptive rules reduce false positives while scaling to complex, high-volume datasets. By detecting abnormal values and data issues early—before they impact transactions or reporting—financial institutions can reduce exposure to FX volatility, maintain trust in critical financial data, and ensure consistent, accurate decision-making

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