
Enterprise Architecture
Enterprise Data Architecture
Data is your most strategic asset, but only if it's structured, governed, and connected. OrbusInfinity gives architects a single framework to define, map, and evolve enterprise data architecture.
Enterprise Data Architecture Breaks Down at Scale
Most IT organizations manage enterprises data architecture across disconnected tools, spreadsheets, and siloed teams. The result is often fragmented domains, inconsistent models, and roadmaps that stall before they start.
Fragmented Data Domains
Data domains are defined inconsistently across teams. Duplicate entities, conflicting definitions, and unclear ownership erode trust in data and slow every downstream decision.

No Clear Current or Target State
Without a documented current-state of the enterprise data architecture, modernization decisions are made blind. Target-state designs lack the traceability needed to build a credible roadmap.

Governance and Architecture Misaligned
Data policies, controls, and compliance requirements sit outside the architecture. Teams can't see how governance obligations map to data domains, models, or platform components.

Decisions Made Easier
Every Stakeholder Gains the Clarity to Act
From CDO to Data Architect, OrbusInfinity surfaces the views, reports, and controls each stakeholder needs.

UCD - DA - CDA
Govern Data Across the Enterprise
- Single view of all data domains and application/technology ownership
- Governance and compliance controls mapped to architecture
- Target-state data architecture with roadmap traceability
- Executive-ready reports on data architecture coverage

UCD - DA - HoDA
Head of Data Architecture | Define and Maintain the Data Architecture Framework
- Structured data architecture framework for domains, models, and flows
- Current vs target state comparison with gap analysis
- Roadmap linked to architecture principles and initiatives
- Cross-domain dependency views for impact assessment

UCD - DA - DA
Data Architect | Model with Precision and Traceability
- Entity and relationship modeling within EA context
- Traceability from data entities to applications and platforms
- Reusable data domain patterns and reference models
- Audit trail of architecture decisions and change history

