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DATA ARCHSOLUTIONS

Enterprise · Data · Solutions Architecture

Architecture that turns complexity into clarity.

We help organisations design scalable data, technology and cloud architectures that support transformation, modernisation and long-term growth.

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Assess → Design → Roadmap → Enable Delivery

Reference view

How the architecture connects

Strategy to outcome, expressed as one coherent structure.

  1. Business Strategy01
    • Objectives
    • Constraints
    • Investment
  2. Enterprise Architecture02
    • Capabilities
    • Principles
    • Roadmap
  3. Data | Applications | Integration | Cloud03
    • Platforms
    • APIs
    • Services
  4. Analytics | AI | Business Outcomes04
    • Insight
    • Automation
    • Value

The problems we solve

Complex technology needs clear architecture.

Organisations usually come to us at a decision point — where the next investment depends on getting the architecture right first.

Modernising a legacy platform

Your technology landscape has evolved organically and now needs a coherent target architecture before further investment.

Building a modern data platform

Fragmented data sources need to be brought together into a scalable foundation for analytics and AI.

Defining a target architecture

A transformation programme needs clear architecture, principles and a roadmap before significant spend is committed.

Connecting systems and data

Multiple applications and platforms need reliable APIs, integration or event-driven architecture.

Preparing for AI

AI initiatives require stronger data, integration, security and architecture foundations to reach production.

If your situation looks similar, a short conversation is usually the fastest way to establish whether we can help.

Discuss an Architecture Challenge →

Core capabilities

Architecture expertise across the technology landscape.

Three connected disciplines, applied by senior architects who have delivered inside complex enterprise environments.

Enterprise Architecture

Connecting business strategy with technology strategy.

  • Current-state assessment
  • Target architecture
  • Architecture principles
  • Capability mapping
  • Technology strategy
  • Architecture roadmaps
  • Technology rationalisation
  • Architecture governance
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Data Architecture

Designing the data foundations behind modern enterprises.

  • Enterprise data architecture
  • Data platform architecture
  • Lakehouse architecture
  • Data modelling
  • Data integration
  • Data governance
  • Data products
  • Data engineering architecture
  • AI-ready data platforms
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Solutions Architecture

Turning business requirements into practical technology solutions.

  • Solution architecture
  • Application architecture
  • Cloud architecture
  • Integration architecture
  • API architecture
  • Event-driven architecture
  • Legacy modernisation
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AI & Data Modernisation

Build the foundations for the AI era.

Enterprise AI succeeds or fails on architecture. Quality data, appropriate design, secure integration, scalable platforms, governance and strong engineering foundations decide whether a pilot becomes a production capability.

  • AI-ready data architecture
  • Generative AI architecture
  • Data platform modernisation
  • Cloud modernisation
  • Enterprise AI integration
  • Legacy modernisation

We are an architecture consultancy, not an AI product company. Our role is to help organisations prepare for and implement AI-enabled technology environments.

Reference view

AI reference architecture

Each layer must be trusted before the next is useful.

  1. Enterprise Data01
    • Operational systems
    • Documents
    • Events
  2. Data Platform02
    • Ingestion
    • Lakehouse
    • Quality
  3. Semantic / Knowledge Layer03
    • Definitions
    • Entities
    • Retrieval
  4. AI / ML / GenAI04
    • Models
    • Grounding
    • Evaluation
  5. Business Applications05
    • Workflow
    • Decisions
    • Traceability

Reference architectures

How we think, made explicit.

Conceptual views we use as starting points in client engagements. Each one is adapted to the estate, constraints and delivery capability in front of us.

Reference view

Enterprise Architecture

  1. Business01
    • Strategy
    • Operating model
  2. Capabilities02
    • Capability model
  3. Information | Applications03
    • Data domains
    • Portfolio
  4. Technology04
    • Cloud
    • Platforms
  5. Transformation Roadmap05
    • Sequencing
    • Investment

Reference view

Data Platform

  1. Data Sources01
    • Applications
    • Files
    • Streams
  2. Ingestion02
    • Batch
    • CDC
    • Events
  3. Data Lake / Lakehouse03
    • Raw
    • Conformed
  4. Data Products04
    • Owned
    • Documented
  5. Analytics / BI / AI05
    • Reporting
    • Models

Reference view

Integration

  1. Applications01
    • Core systems
    • SaaS
  2. APIs / Events / Messaging02
    • Contracts
    • Schemas
  3. Integration Layer03
    • Routing
    • Resilience
  4. Data & Services04
    • Consumers
    • Platforms

Technology expertise

Organised by capability, not by logo.

We work across the platforms our clients already use. Architecture expertise remains the point; tooling follows the decision.

Cloud

  • Azure
  • AWS

Data Platforms

  • Databricks
  • Azure Data Lake
  • Amazon S3
  • Azure Synapse

Architecture

  • Enterprise Architecture
  • Data Architecture
  • Solutions Architecture
  • Integration Architecture

Modern Data

  • Lakehouse
  • Data Engineering
  • Data Modelling
  • Data Governance

AI

  • AI-ready Data Platforms
  • Generative AI Architecture
  • Enterprise AI Integration

Meet the architects

A small, senior team.

Work is delivered by the people you meet. No layers of account management between you and the architecture.

Have a difficult architecture problem?

Tell us the situation. We will tell you honestly whether we are the right people to help.

Discuss an Architecture Challenge