ERP Data Lineage in industrial operations.
ERP data lineage traces where an ERP record, field, export, transformation, diagnostic finding, assumption, or report value came from and how it was interpreted.
A governed Industrial AI glossary entry for ERP Data Lineage, covering operational relevance, source records, ambiguity, engine ownership, and product boundary.
ERP data lineage traces where an ERP record, field, export, transformation, diagnostic finding, assumption, or report value came from and how it was interpreted.
Source identification, export capture, field mapping, transformation logging, evidence creation, report attribution, and owner review.
Source system, object, field, export timestamp, transformation, diagnostic rule, finding, confidence, reviewer, and audit event.
Lineage does not prove the underlying data is correct; it explains origin and movement.
A report value traces from an inventory export through field mapping, duplicate-family grouping, confidence scoring, and a finance-review output.
GovernanceMind AI owns lineage because it governs traceability between source records, findings, and review decisions.
Product boundary: The term does not claim certified audit compliance or perfect source-data quality.
Glossary pages are reference entries. They support diagnostic evaluation, but the operating decision still depends on source data, confidence tiers, and accountable owner review.
This public definition is governed by the AI2COE Knowledge Dictionary and should be interpreted alongside the Industrial AI Readiness framework, assessment methodology, and evidence standards.
Use ERP Data Lineage as a governed reference term, then check the source records, confidence tier, and owner review state before treating it as operational evidence.
Relevant records include: Source system, object, field, export timestamp, transformation, diagnostic rule, finding, confidence, reviewer, and audit event. The reviewer must also check source context, field meaning, and the stated ambiguity before action.
Lineage does not prove the underlying data is correct; it explains origin and movement.
GovernanceMind AI is the primary engine. Supporting engines are used only when their evidence is substantively relevant: ReadyMind AI.
The term does not claim certified audit compliance or perfect source-data quality.