Ontology Quality Intelligence

Data quality shouldn’t end at the defect.

Noetva evaluates enterprise facts across sources, rules and context — then connects quality issues to the ontology relationships and business decisions they may affect.

Explore OQI See the quality journey

  • Import compliance

    Potential impact

  • Supplier qualification

    Potential impact

  • Launch readiness

    Potential impact

  • Duty / cost exposure

    Potential impact

  • Consistency
  • Completeness
  • Accuracy
  • Validity

Product 10482

Country of Origin

Enterprise fact

  • SAP

    US

  • PLM

    MX

  • Supplier

    MX

  • Specification

    Missing

Sources → Fact → Quality → Ontology → Potential impact

Representative demo data

01Source evidence

One enterprise fact. Four different claims.

Quality becomes harder when the same business attribute exists across multiple authoritative and operational sources.

Product 10482

Country of origin

Representative demo data

  • Enterprise fact

    Country of Origin

  • SAP

    US

  • PLM

    MX

  • Supplier

    MX

  • Specification

    Missing

The issue is not simply that one value failed a rule. The enterprise currently holds conflicting and incomplete evidence about the same business fact.

Noetva does not decide which source is correct.

02Quality intelligence

Evaluate the fact, not just the field.

OQI evaluates quality evidence across multiple dimensions while preserving the source and context behind every finding.

8 live · 1 deferred

Representative demo data

Findings keep their source and context, so a status can be inspected rather than simply trusted.

03Cross-source quality

A source can look healthy while the enterprise is still wrong.

Source-by-source view

  • SAPCountry of Origin = USpass
  • PLMCountry of Origin = MXpass
  • SupplierCountry of Origin = MXpass

Each source alone can appear technically complete.

Enterprise fact view

USvsMX
Consistencyattention
SpecificationMissing
Completenessattention

The problem becomes visible when evidence is evaluated together. Isolated checks inside each system cannot see a disagreement that only exists between them. Not every source is authoritative for every fact.

04Business rule context

Quality is also defined by how the business operates.

Technical profiling alone cannot describe every enterprise quality requirement. OQI can evaluate governed business rules alongside observed source evidence.

Enterprise fact

Country of Origin

Product 10482

Business rule lens

Illustrative business rule

Country of Origin should be present for products subject to import-compliance review.

Rule evaluation

Specification evidence: Missing

Review required

Rules provide additional governed context. They do not replace source evidence.

05Ontology impact

The defect is only the beginning.

OQI connects a quality issue to the ontology relationships that show what the affected fact may influence.

Detected issue

Country of Origin is disputed and incomplete.

  • Disputed + incomplete

    Country of Origin

  • Governed by

    Import compliance

    Potential impact

  • Subject to

    Supplier qualification

    Potential impact

  • Gates

    Launch readiness

    Potential impact

  • Influences

    Duty / cost exposure

    Potential impact

Potential impact is not the same as a verified consequence.

06Business context

Know why the issue deserves attention.

  1. Quality signal

    Consistency

    Attention

  2. Ontology relationship

    Country of Origin → Import compliance

    Governed by

  3. Potential business impact

    Import review may depend on this fact.

    Potential impact

  4. Governance priority

    Requires governed review.

    Human authority required

Quality issue → ontology impact → business context. Noetva describes what a fact may affect, not what has already happened.

07Governed reasoning

Evidence can inform a recommendation. It cannot grant authority.

Governed reasoning architecture

  • Quality

    Identifies disagreement and missing evidence.

  • Supply chain

    Evaluates operational relevance.

  • Compliance

    Evaluates applicable governance context.

  • Product

    Evaluates product dependencies.

  • Finance

    Evaluates potential exposure context.

Shared ontology + evidence + context

Perspectives are evaluated against the same governed evidence, not separate copies of it.

Evidence-backed recommendation

Evidence supports further governed review of MX.

Human authority

  • Review
  • Approve
  • Reject

Nothing crosses automatically.

Intelligence recommends. Humans authorize.

Specialist reasoning substrate

The governed reasoning architecture exists, and reasoning activation is governed. Specialist reasoning is not automatically invoked in the demonstrated workflow, and no agent changes an external system.

08Human authority

Recommendation is not authorization.

Evidence

Observed source values and provenance

Context

Ontology relationships and dependencies

Recommendation

Evidence supports further governed review of MX.

Human authority

Nothing crosses this boundary automatically.

  • Review
  • Approve
  • Reject

Noetva separates what intelligence recommends from what the enterprise authorizes.

09Governed remediation

A recommendation isn’t a resolution either.

  1. 01 · Detect

    Issue exists.

  2. 02 · Evidence

    Supporting evidence assembled.

  3. 03 · Assess

    Quality and context evaluated.

  4. 04 · Recommend

    Evidence-backed action proposed.

  5. 05 · Authorize

    Human authority required.

  6. 06 · Remediate

    Approved action occurs through the governed process.

  7. 07 · Re-evaluate

    Quality is checked again.

  8. 08 · Resolve

    Only after sufficient evidence supports resolution.

Externally reported remediation

Change happens in the owning enterprise system. Noetva does not automatically edit external systems, and remediation is reported back as evidence.

Recommendation ≠ authorization ≠ remediation ≠ resolution

Re-evaluation is required before resolution. Nothing moves from remediation to resolution on its own.

10Explainable trust

Every conclusion should have an evidence trail.

Why this recommendation?

Because the enterprise evidence disagrees, one expected source is incomplete, and the fact participates in relationships that may affect governed business decisions.

11From quality metrics to quality intelligence

Don’t just measure data quality. Understand what it means.

Traditional quality view

Field · Rule · Failure

  • Missing value
  • Invalid domain
  • Rule violation

Ontology Quality Intelligence

  • Source evidence
  • Cross-source agreement
  • Quality dimensions
  • Business rules
  • Ontology relationships
  • Potential impact
  • Governed recommendation
  • Human authority
  • Re-evaluation
  • Explainable trust

Traditional quality controls remain essential. OQI extends them by connecting quality evidence to enterprise context, ontology relationships and governed decisions.

12One coherent intelligence system

Quality becomes intelligence when context survives the journey.

Noetva preserves the evidence, relationships and authority boundaries needed to move from detecting a problem to understanding what should happen next.

  • Enterprise fact

    Country of Origin

  • Source evidence

  • Quality

  • Business rules

  • Ontology

  • Potential impact

  • Recommendation

  • Human authority

  • Re-evaluation

Representative demo data

Ontology Quality Intelligence

Know what’s wrong. Understand what it can affect.

See how Noetva turns enterprise quality evidence into ontology-grounded, governed understanding.

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