Datatism T7 Model
Data is defined across seven dimensions.
A structured, vendor-neutral framework that maps every data system challenge to a precisely defined dimension — enabling diagnosis, governance, and execution.
7
Dimensions
42+
Diagnostic Questions
18
Failure Patterns
Core Framework
The Seven Dimensions
Truth
Definition
The degree to which data accurately represents the real-world entities and events it models.
Diagnostic Questions
- Q1.Is this data reconciled across sources?
- Q2.What is the authoritative record?
Methodology
"A data problem without a dimension is an observation without a diagnosis."
The Datatism T7 Model was developed to address the absence of a universal diagnostic language in data engineering. Without a shared framework, teams diagnose the same failure using different terms — leading to misaligned solutions.
Vendor Neutral
The T7 model is platform-agnostic. No tool, vendor, or product is privileged within the framework.
Structurally Defined
Each dimension has a precise definition, clear scope, and explicit boundaries. Ambiguity is a defect.
Evidence Oriented
Framework claims are supported by documented failure patterns, research papers, and enterprise case analysis.
Diagnostically Useful
The framework exists to diagnose. Every dimension maps to observable symptoms and measurable outcomes.
Evidence Base
Framework-backed research
12
Research Papers
Structured, evidence-based publications covering single-dimension analysis and cross-T interactions.
18
Failure Library
Documented data failures mapped to one or more T-factors with root cause analysis.
8
Reference Architectures
Implementation patterns for ERP, ML pipelines, analytics platforms, and streaming systems.
Start Here
Diagnose your data system against the T7 Model
A structured, self-assessment framework. Identify which dimensions are weak, which are strong, and where to focus first.