
Enterprise Architecture
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.
Data Architecture Breaks Down at Scale
Most enterprises manage 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 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.
Your data. Mapped.
One Platform. Every Data Architecture Layer.
Model data domains, define governance controls, and build roadmaps — all within a connected enterprise architecture framework. Every layer is linked, traceable, and ready to report.
Data Domain Modelling
Define and structure your data domains, sub-domains, and data entities within a governed enterprise architecture context. Establish clear ownership and boundaries across the estate.
- Map data domains and sub-domains across the enterprise
- Define data entities, attributes, and relationships
- Assign domain ownership and stewardship roles
Current & Target State Architecture
Document your current-state data architecture and design your target state. Compare both views to identify gaps, prioritize initiatives, and build a credible modernization case.
- Capture current-state data architecture artefacts
- Design target-state models with traceability to principles
- Run gap analysis between current and target state
Data Architecture Roadmap
Translate your data architecture strategy into an executable roadmap. Link initiatives to domains, platforms, and governance milestones and track progress in one place.
- Build and sequence data architecture initiatives
- Link roadmap items to data domains and technology components
- Track delivery progress against architecture milestones
Data Governance Alignment
Connect data policies, controls, and compliance requirements directly to architecture components. Make governance obligations visible, traceable, and audit-ready.
- Link data policies and controls to domains and entities
- Map compliance requirements to architecture components
- Generate governance coverage and gap reports
Cross-Domain Architecture Connectivity
Connect your data architecture to application, technology, and security architecture layers. Understand dependencies and the impact of change across the full enterprise estate.
- Link data domains to consuming applications and platforms
- Map data flows across technology and infrastructure layers
- Assess cross-domain impact of architecture change
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, without switching tools or losing context.

Chief Data Officer
Govern Data Across the Enterprise
- Single view of all data domains and ownership
- Governance and compliance controls mapped to architecture
- Target-state data architecture with roadmap traceability
- Executive-ready reports on data architecture coverage

Head of Data Architecture
Define and Maintain the Architecture Framework
- Structured framework for data 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

Data Architect
Model with Precision and Traceability
- Entity and relationship modelling 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
Latest Success Stories
Common Questions
Enterprise Data Architecture FAQs
Enterprise data architecture defines how data is structured, governed, and connected across an organization. It covers data domains, entities, flows, governance controls, and the roadmap to evolve the data estate over time.
OrbusInfinity provides OrbusInfinity Draw, a structured environment to natively model data domains, or users can leverage a Visio add in to define data entities and relationships, and connect data architecture artefacts to application, technology, and security layers within a single EA framework.
Yes. OrbusInfinity supports the capture of current-state data architecture and the design of target-state models. You can compare both views, identify gaps, and link findings directly to roadmap initiatives.
Data policies, controls, and compliance requirements can be linked directly to data domains and architecture components in OrbusInfinity. This makes governance obligations visible, traceable, and reportable across the estate.
Yes. Roadmap initiatives can be built, sequenced, and tracked within OrbusInfinity, linked to data domains, technology components, and governance milestones, giving architects a single view of delivery progress.
OrbusInfinity connects data architecture to application, technology, and security architecture layers. Architects can trace data flows, assess cross-domain dependencies, and understand the impact of change across the full enterprise estate.
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