Completeness
Was the full expected population received across every material interface and hand-off?
Related specialist proposition
Decision-critical data. Complete. Correct. Controlled.
DQIntegrity provides specialist Data Quality & Integrity depth where the data journey is central to the decision.
NFRisk leads cross-boundary diagnosis, design, mobilisation and assurance. DQIntegrity focuses on whether the right data reached the right process completely, correctly and with evidence that can withstand challenge.
The specialist question
Can the organisation prove—not assume—that the decision received what it required?
Expected population · received data · preserved meaning · controlled use · retained evidence
When Data Quality & Integrity is central
Local quality measures are not always proof of an end-to-end data journey.
A dataset can appear acceptable at one stage while records are missing upstream, filtered unintentionally, transformed incorrectly or misunderstood by the consuming process. DQIntegrity connects requirements, expected populations, sources, interfaces, mappings, controls, ownership, exceptions and evidence.
The aim is not to create more controls everywhere. It is to place the right controls where decision-critical data can be lost, altered, misunderstood or used without sufficient proof.
Explore the DQIntegrity visual frameworksCorrectness
Were fields, mappings, transformations and business meaning preserved?
Control evidence
Can reconciliations, exceptions, decisions, ownership and closure be reconstructed?
Decision use
Did the consuming process receive and interpret the data required for its purpose?
How the propositions connect
Two distinct roles. One planned architecture.
NFRisk and DQIntegrity are related but commercially distinct. Each should be used where its decision scope is strongest.
| Use NFRisk when | The mandate crosses financial crime, payments, data, technology, operating-model, provider, resilience or delivery boundaries and requires a connected decision architecture. |
|---|---|
| Use DQIntegrity when | The central question concerns decision-critical completeness, correctness, lineage, transformations, reconciliation, exceptions, ownership or evidence. |
| Use both when | NFRisk leads the wider mandate and DQIntegrity supplies the specialist Data Quality & Integrity workstream under explicit scope and responsibility boundaries. |
Current status: NFRisk is the principal senior advisory proposition within the planned Resolvo Advisory architecture. DQIntegrity is the specialist Data Quality & Integrity proposition. The planned architecture is not presented as an incorporated operating entity.
Priority environments
Where data failure becomes a control or decision risk.
Financial crime
Transaction monitoring, screening, KYC/CDD, exclusions, alert inputs and investigation fields.
Payments
Message and transaction journeys, count and value reconciliation, rejects, settlement and readiness.
Migration and platform change
Source-to-target mapping, conversion, reconciliation, testing, cutover and acceptance.
Reporting and management information
Business definitions, lineage, aggregation, ownership and executive reliance.
AI and automation
Provenance, permitted use, representative populations, transformations, versions and human oversight.
Synthetic and test data
Generation method, parameters, privacy, utility, scenario coverage, reproducibility and lifecycle control.
Evidence route
Specialist depth backed by frameworks and primary sources.
DQIntegrity maintains a dedicated visual framework library and a global evidence library using authoritative regulator, central-bank, statutory and standards material.
Commercial boundary
DQIntegrity provides diagnosis, control architecture, design, challenge and assurance. Engineering, platform implementation and accountable business or data ownership remain with the organisation or its appointed providers unless a separate, explicit scope says otherwise.
Choose the route
Specialist data question—or wider NFRisk mandate?
Continue to DQIntegrity for dedicated Data Quality & Integrity depth, or start an NFRisk conversation where the decision crosses wider transformation boundaries.