Critical data and service mapping
Which data populations and transformations are essential to each important business service.
DORA through a data-integrity lens
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
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.
Data-resilience focus areas
Which data populations and transformations are essential to each important business service.
Completeness, sequence, version, duplication and reconciliation after recovery.
What changed, what was lost, which controls operated and how impact was determined.
Provider data flows, subcontractors, interfaces, ownership and exit/recovery assumptions.
Data-integrity acceptance criteria within resilience, failover, migration and provider tests.
Evidence that restored services are not only available, but support correct and complete outcomes.
Technology-provider relevance
For technology and delivery providers, DQIntegrity can help define the data controls, support model, test evidence, failure handling and accountability that regulated clients expect.
Available is not the same as intact.