CyberTRIZPEDIA

TOS026

Embed data lineage controls—source identifiers, transformation logs, and metadata—into the integration architecture before analytical work begins.

CyberTRIZ analysis · Audit contradiction TOS026 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

Data Integration vs Source Traceability

Business ContextCombining information from multiple systems can improve analytics and provide an enterprise-wide view of transactions, controls, and risks. Extensive integration can make it difficult to determine where data originated, how it was transformed, and whether analytical results remain traceable to authoritative sources.

Audit TRIZ ResolutionIntegrate data while preserving lineage as part of the analytical architecture. Source identifiers, transformation histories, reconciliation controls, metadata, and traceable analytical steps should remain attached to information throughout processing.

Applicable TRIZ Principles

Principle 5 – Merging combines information from multiple sources for broader analysis.

Principle 10 – Prior Action establishes lineage requirements before data integration occurs.

Principle 24 – Intermediary uses metadata and controlled transformation records to connect analytical outputs with original sources.

Expected Outcome

Broader integrated analytics

Preserved data lineage

More defensible conclusions

Faster evidence validation

Decision Indicators

Auditors cannot trace analytical results to source systems.

Integrated datasets contain unexplained transformations.

Reconciliation problems appear after analysis has been completed.

Data lineage depends on individual analyst knowledge.

Broader integration reduces confidence in evidence provenance.

TRIZ principles applied

P5 MergingP10 Preliminary actionP24 Intermediary

Controls that address this (22)