Enterprise use cases

One fact.
Many business consequences.

See how fragmented enterprise evidence can surface quality issues, connect to business context and support governed decisions across critical workflows.

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Disputed fact

Country of Origin

Product 10482

Product & supplier data
Supply chain
Compliance
Launch readiness
Cost & finance
Governed AI

Potential impact · not proven impact

Representative demo data

01 — 06Scenario observatoryRepresentative demo scenario

One disputed fact. Multiple business contexts.

Follow the same Country of Origin disagreement on Product 10482 through the business contexts it can touch.

01 / Product & supplier data

When systems disagree about the same product.

Noetva aligns evidence around the same enterprise fact without erasing what each source actually reported.

  • ERP / SAP

    Product 10482

    Country of Origin

    US

  • PLM

    Product 10482

    Country of Origin

    MX

  • Supplier

    Product 10482

    Country of Origin

    MX

  • Specification

    Product 10482

    Country of Origin

    Missing

Representative demo data

One platform

Shared enterprise fact · Country of Origin

  • Consistency

    Attention

  • Completeness

    Attention

  • Accuracy

    Review

  • Validity

    Pass

Identify disagreementPreserve provenanceProvide context for review

Representative demo scenario · Potential impact, not verified consequence

07Shared understanding

Different teams. The same enterprise fact.

Each context asks a different question of the same evidence — without creating a separate version of the truth.

Enterprise fact

Country of Origin

Data steward

Evidence and quality findings

Supply chain

Sourcing and supplier context

Compliance

Governed review context

Product

Readiness dependencies

Finance

Potential duty / cost relevance

  • Shared evidence

  • Shared ontology

  • Shared quality state

  • Hover a team to see the context it works from.

Teams are organisational perspectives, not autonomous systems. Noetva provides shared context; people decide.

08The golden thread

Follow the issue from detection to governed decision.

Nothing skips ahead. A recommendation is not an authorization, and remediation is not resolution.

  1. 01

    Detect

    Country of Origin disagreement

  2. 02

    Evidence

    SAP / PLM / Supplier / Specification

  3. 03

    Assess

    OQI quality evaluation

  4. 04

    Understand

    Ontology relationships

  5. 05

    Recommend

    Evidence-backed next step

    Stops at authority

  6. 06

    Authorize

    Human authority

  7. 07

    Remediate

    Governed remediation

  8. 08

    Re-evaluate

    Check evidence again

  9. 09

    Resolve

    Only when supported by evidence

Representative demo data

Recommendation, authorization, remediation and resolution remain separate governed steps. See the authority model

Your enterprise context

What happens when
your systems disagree?

Bring a real enterprise data problem and see how Noetva can connect evidence, quality and ontology context around it.

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Noetva. Know what’s real.