Governance and ownership
Accountability across producers, aggregators, report owners, data offices and executive decision-makers.
BCBS 239 and RDARR readiness
Risk data aggregation depends on integrity being designed, owned and evidenced end to end.
DQIntegrity applies a practical data and control lens to risk-data aggregation and reporting: governance, architecture, accuracy, completeness, timeliness, adaptability, lineage, control operation and executive evidence.
From principle to operating reality
Good reporting cannot compensate for weak data architecture and control ownership.
BCBS 239 established principles to strengthen banks' risk-data aggregation and internal risk reporting. The ECB's final RDARR guide reinforces supervisory expectations around governance, data architecture, accuracy, completeness, timeliness and implementation discipline.
DQIntegrity does not provide formal regulatory certification. It helps institutions assess whether their operating evidence supports a defensible view of data aggregation and reporting integrity.
Data-integrity focus areas
Where DQIntegrity can support BCBS 239 and RDARR improvement.
Architecture and lineage
Traceable data journeys, transformation logic, aggregation paths and critical dependencies.
Accuracy and correctness
Mappings, derivations, classifications, calculations, tolerances and exception evidence.
Completeness
Expected populations, source coverage, exclusions, dropped records and reconciliation.
Timeliness and adaptability
Data availability, reporting cycles, stress conditions and rapid aggregation capability.
Control evidence
Operation, investigation, remediation, management reporting and sustainable closure.