Expected populations
Define which records, values and critical fields the control or decision process must receive.
Capability pillar 2 — delivered through DQIntegrity
Delivered through DQIntegrity
Data & Control
Integrity
Decision-critical data. Complete. Correct. Controlled.
DQIntegrity helps regulated organisations establish whether data remains complete, correct, timely, understood and controlled throughout its end-to-end journey.
Senior-ledDirect principal involvement
Complete-lifecycleDefinition through implementation and assurance
IndependentNo predetermined technology recommendation
Evidence-basedDecisions grounded in operating reality
Why it matters
Data quality can look acceptable while end-to-end integrity remains unproven.
Aggregate scores and local checks do not necessarily prove that every required record reached the decision tool, that transformations preserved meaning or that exceptions were sustainably resolved. DQIntegrity focuses on the complete source-to-decision control chain.
NFRisk provides the domain, control and delivery challenge required to turn a broad concern into an implementable, evidenced intervention.
Capability scope
A connected view of the complete operating environment
The scope is tailored to the mandate. NFRisk examines the dependencies required for the intended outcome rather than isolating one function or technology.
Completeness
Prove source-to-target population coverage across systems, interfaces, filters and hand-offs.
Correctness
Assess mapping, transformation, formats, nulls, uniqueness, duplicates and critical-field rules.
Reconciliation
Design count, value and attribute-level controls with thresholds, tolerances and evidence.
Lineage and traceability
Connect business requirement, data source, transformation, decision tool and control output.
Ownership and exceptions
Clarify data owner, processor, consumer/control owner and exception/evidence ownership.
Data readiness
Assess whether migration, analytics, AI or automation has sufficiently understood and controlled data.
Remediation and assurance
Prioritise structural weaknesses and independently challenge sustainable implementation and closure.
When this capability is relevant
Recognisable situations that require senior challenge
Monitoring or screening coverage cannot be proven
The organisation cannot demonstrate that every required transaction, customer or reference-data record reaches the control.
Stable reporting may conceal hidden failure
Aggregated metrics look acceptable while missing populations, transformation errors or exclusions remain possible.
A migration or platform change is approaching go-live
Data transfer, mapping, reconciliation, ownership and operational evidence require independent assurance.
AI or automation depends on uncertain data
The use case is advancing before data provenance, representativeness, traceability and control are sufficiently established.
How NFRisk works
From the actual problem to controlled implementation
NFRisk can enter at any stage. The formal lifecycle keeps the advice connected to decisions, accountability and evidence.
Define
Agree the intended decision or control outcome, expected populations and critical data requirements.
Trace
Map the end-to-end data journey, transformations, interfaces, filters, ownership and evidence.
Test
Challenge completeness, correctness, timeliness, reconciliation and exception controls.
Assess
Evaluate design, execution, accountability, evidence, remediation and sustainability.
Prioritise
Set immediate actions, target-state controls and a defensible remediation roadmap.
Relevant experience
Evidence across complete transformation lifecycles
NFRisk is principal-led and grounded in prior personal experience across global banking, payments, data, financial crime and resilience.
Global TM data integrity
Led data strategy and control strengthening across complex source-to-monitoring journeys in a multi-jurisdiction bank.
Major asset-transfer readiness
Led governance, lineage, data quality, testing and migration-readiness work for a major UK asset-transfer programme.
KYC and continuous controls
Connected beneficial-ownership requirements, lineage, process ownership and technology-enabled continuous checks.
Case evidence is anonymised. Employer and programme references describe prior personal experience and do not imply endorsement of Resolvo Advisory, NFRisk or DQIntegrity.
Specialist proposition
Decision-critical data. Complete. Correct. Controlled.
DQIntegrity is the specialist data and control integrity proposition of Resolvo Advisory, delivered within the wider NFRisk advisory architecture.
It provides a structured methodology for expected populations, source-to-target traceability, reconciliation, correctness, ownership, exception governance and evidence.
Related commercial services
Defined entry points for a focused mandate
Capabilities describe the depth of expertise. Services define the scope, outputs and decision a client can engage.
Next step
Begin with the decision and evidence required.
An initial confidential discussion establishes the context, urgency and potential fit. Substantive diagnosis, design and assurance work are separately scoped.