Anxious about BCBS 239 compliance deadlines?
Soda directly operationalizes BCBS 239 principles, and it does so across all core data quality processes: reconciliation, validation, testing, and controls.
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Reconcile and validate risk data easily
Soda automates data reconciliation, validation, and testing to ensure your risk data is accurate, timely, and fully traceable. Ready for both internal decisions and BCBS 239 review.
Monitor data accuracy and fix issues fast
Check the quality of your risk data, flag errors as they happen, and help teams resolve them with full audit trails to ensure strong controls and reliable reporting under BCBS 239.
Bi-directional Data Lineage Integration
Automatically turn governance rules set in data catalogs into actionable, enforceable quality checks. Leverage your catalog and Soda to comply with BCBS 239.
Turn static rules from your data catalog and lineage tools into automated data quality checks
Automatically translate governance policies from Collibra, Atlan, or Alation into real, executable data quality checks. Soda closes the gap between data governance and engineering.onciliation, quality testing, and monitoring capabilities ensure data trust at each stage of your migration: from initial planning through production deployment.
Detect reconciliation failures the moment they happen
When reconciliation checks fail or data patterns deviate from expected norms, your team receives instant alerts to investigate and address root causes.
Turn governance policies into action
Soda converts plain-English governance rules into executable data quality checks. Governance teams define expectations, and engineers review and approve them before deployment, combining clarity with control.
Bi-directional integration for complete visibility
Continuously sync metadata between Soda and your catalog or lineage tools to keep governance and quality aligned.Soda uses data from your catalog, like ownership, business context, and governance rules, to power smarter quality checks.It then sends results and issue details back in real time, giving every team full visibility into data health where they already work.
Investigate failed checks and diagnose data issues
Teams can trace issues to their root cause with full context from data contracts, anomaly detection, and historical runs — building operational workflows directly on top of scan results.Each failed record is automatically isolated and linked to its check, timestamp, and related context, making it easy to compare, investigate, and resolve issues fast.
