Table of Contents
Quick Reference for New Contributors #
1 Purpose #
EA 2.0 integrates business, data, and AI reasoning — but shared understanding is the first integration that matters.
This glossary defines recurring terms and abbreviations so contributors can navigate the playbook without ambiguity.
2 Core Terms #
| Term | Meaning |
|---|---|
| EA 2.0 | Enterprise Architecture 2.0 — a live, AI-augmented architecture system built on knowledge graphs and predictive governance. |
| Ask → Anticipate → Act | The three-step philosophy: natural-language questions → predictive insight → autonomous or human action. |
| Knowledge Graph | Connected data model linking capabilities, applications, data, risks, and controls. |
| Reasoning Layer | The AI/RAG service that interprets queries, generates Cypher/Gremlin, and enforces guardrails. |
| RAG | Retrieval Augmented Generation — technique combining LLM reasoning with enterprise data retrieval. |
| Ontology | The schema defining node and relationship types inside the EA Graph. |
| Capability | A repeatable business function describing what the enterprise does. |
| Application Node | Representation of a system providing one or more capabilities. |
| Control | Technical or procedural safeguard mapped to risks. |
| Outcome | Measurable business or operational result tied to strategy. |
| Coverage % | Proportion of known assets represented in the graph. |
| Confidence Index | Composite metric of freshness, completeness, and ownership. |
| Decision Latency | Time between detection of an event and execution of a decision. |
| Value Realization | Quantified business impact of EA actions (ROI). |
| DQ Rules | Data-quality checks applied during ingestion. |
| MSI (Master System Index) | Canonical list of all applications and their metadata sources. |
| Stewardship Workflow | Automated ServiceNow tasks keeping data current. |
| Predictive Governance | Use of ML models to forecast compliance drift and risk trends. |
| Autonomous Optimisation | Policy-driven automated fixes triggered by threshold breaches. |
| Feedback Loop | Continuous cycle turning metrics into improvement actions. |
| GRC | Governance, Risk & Compliance — platform (e.g., ServiceNow) managing control records. |
| Sentinel | Microsoft Sentinel — SIEM service used for continuous compliance evidence. |
| Policy Gov | Azure Policy / OPA ruleset enforcing architecture standards. |
| NLQ UI | Natural-Language Query interface for querying the EA graph conversationally. |
| RACI | Matrix clarifying who’s Responsible, Accountable, Consulted, Informed. |
3 Abbreviations and Systems #
| Acronym | Full Form | Context in EA 2.0 |
|---|---|---|
| ADF | Azure Data Factory | Batch ETL pipelines for ingestion. |
| CI/CD | Continuous Integration / Continuous Deployment | Delivery automation for functions & connectors. |
| CMDB | Configuration Management Database | Source of application inventory. |
| KPI | Key Performance Indicator | Quantitative measure of EA health. |
| ML Ops | Machine Learning Operations | Managing model training & deployment. |
| OPA | Open Policy Agent | Runtime for policy evaluation. |
| RBAC | Role-Based Access Control | Controls user permissions. |
| ROI | Return on Investment | Used in Value Realization metric. |
| SLA | Service Level Agreement | Input to predictive breach models. |
| WORM | Write-Once-Read-Many | Immutable audit storage type. |
4 Visual Reference #
For clarity in diagrams:
- Teal = Ingest/Data
- Purple = Core Runtime
- Amber = Governance & Controls
- Green = Outputs & Dashboards
Use consistent color semantics across all SVG diagrams and dashboards.
5 Usage Guidelines #
- Link every glossary term back to its corresponding BetterDocs article.
- Auto-generate tooltip pop-ups in diagrams using this glossary dataset.
- Review & expand quarterly — EA 2.0 terminology evolves with the platform.
6 Takeaway #
A shared vocabulary is the API of collaboration.
EA 2.0 speaks through this glossary so that technologists, data scientists, and executives all describe the same reality — and build it together.
