Datatism T7 Model — Reference
The T7 Framework
A complete reference model for understanding, diagnosing, and improving data systems across seven precisely defined dimensions. Each dimension is independent, measurable, and maps to observable system behaviors.
Truth
Definition
The degree to which data accurately represents the real-world entities and events it models. Truth is not binary — it exists on a spectrum from fully reconciled to fundamentally corrupted.
Structural Explanation
Truth operates at three layers: source truth (raw capture accuracy), integration truth (reconciliation across systems), and derived truth (correctness of computed values). Each layer introduces unique failure modes.
Enterprise Interpretation
In enterprise systems, Truth failures most commonly manifest as reconciliation gaps between operational and analytical systems. A financial close process that requires manual adjustments is a Truth failure, not a process deficiency.
Failure Scenarios
- F1Duplicate records with conflicting attribute values
- F2Unresolved master data conflicts across domains
- F3Derived metrics calculated from different source records
Diagnostic Questions
- 01
Is there a single authoritative record for each entity?
- 02
How are conflicts between source systems resolved?
- 03
What percentage of records require manual reconciliation?
- 04
Is the reconciliation process documented and auditable?
Cross-Dimensional Analysis
Dimension Interactions
The T7 dimensions are not isolated. Failures in one dimension frequently amplify or mask failures in others. Understanding these interactions is essential for accurate diagnosis.
Truth × Traceability
A Truth failure without Traceability is unresolvable. Knowing data is wrong without knowing why makes remediation impossible.
Time × Transformation
Transformations that ignore temporal context produce incorrect results. Business rules often have effective dates that must be applied at the correct point in time.
Trust × Team
Trust cannot exist without accountable owners. Governance frameworks without organizational backing remain theoretical.
Transformation × Traceability
Every transformation must be traceable. Black-box transformations break the lineage chain and create unauditable derived values.
Technology × Truth
Technology choices constrain Truth capabilities. A system without deduplication logic cannot enforce entity uniqueness regardless of governance policy.
Trust × Time
Historical data trust requires temporal governance. SLAs must specify not just availability but temporal completeness guarantees.