Non-commercial professional knowledge resource. DQIntegrity publishes frameworks, evidence and commentary on Data Quality & Integrity.No advisory or client services are offered.
DQIntegrityData Quality & Integrity for decision-critical systems
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DORA through a data-integrity lens

Digital operational resilience depends on data being available, recoverable and trustworthy after disruption.

DORA strengthens EU financial-sector requirements for ICT risk, resilience testing, incidents and third-party dependencies. DQIntegrity focuses on the data and evidence conditions that determine whether restored or provider-dependent services can still support correct decisions.

The overlooked question

Recovery is not complete when systems restart. The data must still be intact.

Institutions need to understand not only whether a service can be recovered, but whether populations, sequence, transformations, reconciliations, records and evidence remain complete and correct across disruption and restoration.

DQIntegrity complements operational-resilience and ICT-risk work by examining data state, recovery integrity, provider dependencies and control evidence.

Data-resilience focus areas

From critical service to restored decision integrity.

Critical data and service mapping

Which data populations and transformations are essential to each important business service.

Backup and restore integrity

Completeness, sequence, version, duplication and reconciliation after recovery.

Incident evidence

What changed, what was lost, which controls operated and how impact was determined.

ICT third-party dependencies

Provider data flows, subcontractors, interfaces, ownership and exit/recovery assumptions.

Testing and scenarios

Data-integrity acceptance criteria within resilience, failover, migration and provider tests.

Management assurance

Evidence that restored services are not only available, but support correct and complete outcomes.

Bank-ready resilience depends on evidence beyond product availability. Regulated organisations need to understand data controls, support models, test evidence, failure handling and accountability across third-party dependencies.

Technology-provider relevance

DQIntegrity is maintained as a non-commercial professional knowledge resource.

No advisory, consulting, diagnostic, assurance or client services are offered through this website. No commercial enquiries are accepted.