Strengthen BCBS 239 Risk Data Aggregation
Improve accuracy, completeness and consistency of the risk data used for regulatory and internal reporting.
Why Use Our BCB2 239 Data Readiness Sandbox?
✔ Validate Key Risk Attributes
Apply configurable rules to key data elements driving credit, market and liquidity risk measures.
✔ Improve Aggregation Consistency
Detect breaks and mismatches when aggregating exposures across systems, entities and hierarchies.
✔ Evidence Data Lineage
Document the data sources and transformations feeding critical risk reports and regulatory templates.
✔ Prepare for Supervisory Reviews
Provide audit-ready evidence packs aligned with BCBS 239 expectations and local supervisory guidance.
Key Features
- Key Data Element (KDE) rule library aligned to BCBS 239 principles
- Cross-system reconciliation for risk and finance datasets
- Data lineage visualisation and exportable evidence packs
- Support for parallel runs and regulatory remediation programmes
- Flexible deployment for global banking groups
How Data Readiness Works
1. Secure Transfer
You send us your prepared FSCS SCV report via an encrypted channel.
2. Validation
We apply automated checks against FSCS/PRA rules and best practice.
3. Issue Report
We return a detailed validation report highlighting discrepancies, missing fields, and compliance gaps. Know what to fix, and where to fix it.
Frequently Asked Questions
How does the BCBS 239 Data Readiness Sandbox support risk functions?
It provides a controlled environment to test and evidence the accuracy, completeness and aggregation of risk data before it is used in reports and decisions.
What types of risk data can it validate?
It can validate counterparty, exposure, collateral, reference data and risk metrics across credit, market, liquidity and operational risk.
Is this only for G-SIBs and large banks?
No. While BCBS 239 targets large banks, many medium-sized institutions face similar risk-data challenges and can benefit from the Sandbox.
Can the Sandbox be used during regulatory remediation?
Yes. It is designed to support remedial programmes and parallel runs where supervisors require evidence of improved risk-data capabilities.
What makes Datactics different from generic data tools?
Datactics combines powerful data-quality and matching technology with domain knowledge of risk and regulatory data requirements.
Request Early Access
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