Data Advisory Service

Enterprise Data Architecture

4.9 out of 5Based on 7,316 reviews

Define an enterprise data architecture that links business domains, information flows, platforms, integration patterns and governance controls. Our advisory approach clarifies the current state, target architecture, standards and transition decisions needed to reduce fragmentation while supporting analytics, operational data use, AI readiness and sustainable technology change.

Current-to-target architecture
Domain and platform alignment
Standards and design controls
Transition dependency mapping
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Enterprise architecture viewExample model
01Business domains
02Data services
03Integration patterns
04Platform foundation

Illustrative architecture layers

Service Directory

Enterprise Data Architecture services

Select a specialist service to review its scope, delivery considerations and potential outputs.

Analytics Architecture Service

Analytics Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Architecture Governance Service

Architecture Governance Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Cloud Data Architecture Service

Cloud Data Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Conceptual Data Architecture Service

Conceptual Data Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Current State Data Architecture Service

Current State Data Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Data Architecture Principles And Standards Service

Data Architecture Principles And Standards advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Data Domain Architecture Service

Data Domain Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Data Fabric Architecture Service

Data Fabric Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Data Integration Architecture Service

Data Integration Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Data Lakehouse Architecture Service

Data Lakehouse Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Data Mesh Architecture Service

Data Mesh Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Data Platform Architecture Service

Data Platform Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Enterprise Data Architecture Assessment Service

Enterprise Data Architecture Assessment Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Enterprise Data Architecture Strategy Service

Enterprise Data Architecture Strategy Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Event Driven Data Architecture Service

Event Driven Data Architecture advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Hybrid Data Architecture Service

Hybrid Data Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Logical Data Architecture Service

Logical Data Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Physical Data Architecture Service

Physical Data Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Target State Data Architecture Service

Target State Data Architecture Service advisory to clarify choices, responsibilities, priorities and practical next steps for enterprise data capability.

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Business Value

A structured approach to practical outcomes

Engagements connect business priorities, technical realities, control requirements and the capability of the teams that will own the result.

Outcome alignment

Connect scope to business priorities, service expectations and measurable value.

Decision clarity

Use evidence, options and documented criteria to make complex choices transparent.

Control by design

Address security, privacy, governance, resilience and auditability throughout delivery.

Operational readiness

Prepare ownership, documentation, support and knowledge transfer for sustainable use.

Delivery Approach

How engagements are typically structured

Discover

Clarify outcomes, current state, constraints, stakeholders and available evidence.

Assess and design

Evaluate options, dependencies, risks, controls and target requirements.

Deliver and validate

Produce the agreed outputs using documented standards and acceptance criteria.

Transition and improve

Support ownership, adoption, measurement and prioritised continuous improvement.

FAQs

Enterprise Data Architecture questions

Answers to common search and procurement questions about scope, delivery, timelines, pricing, quality, security and support.

What services are included in Enterprise Data Architecture?

The service area includes the specialist capabilities listed on this page. Scope can cover assessment, strategy, architecture, design, implementation, assurance, optimisation and operating enablement depending on the selected service and business requirement.

When should an organisation engage a enterprise data architecture specialist?

External support is useful when teams need independent expertise, additional delivery capacity, cross-functional alignment or a structured approach to complex decisions. The appropriate starting point depends on current maturity, urgency, risk and evidence availability.

How is the right service selected?

Selection begins with the business outcome, current environment, constraints, risk profile and delivery stage. A focused discovery discussion can identify whether one specialist service or a coordinated group of services is the most appropriate starting point.

Can the engagement support cloud, on-premises and hybrid environments?

Yes. Work can address cloud, on-premises, hybrid and multi-cloud environments where relevant. Recommendations consider workload fit, integration, security, residency, skills, operating capacity, commercial constraints and existing investments.

What deliverables are typically provided?

Deliverables vary by service and may include assessments, decision frameworks, architecture artefacts, implementation plans, configured components, standards, test evidence, operating procedures, roadmaps, decision logs and knowledge-transfer materials.

How long does a enterprise data architecture engagement take?

There is no reliable fixed duration before scoping. Timing depends on estate complexity, stakeholder access, evidence quality, number of systems or domains, assurance requirements, delivery dependencies and the depth of implementation required.

How is pricing determined?

Pricing is influenced by scope, complexity, delivery model, specialist roles, environment count, integrations, evidence quality, data volumes, controls, documentation, testing and ongoing support. A written estimate should follow initial discovery.

Can specialists work with internal teams and existing vendors?

Yes. Engagements can be structured alongside internal data, architecture, security, cloud, operations and business teams, as well as software vendors and systems integrators. Responsibilities and decision rights should be agreed at the start.

How are security, privacy and governance addressed?

Security, privacy, governance, access, retention, lineage, auditability and resilience requirements are incorporated according to scope and applicable obligations. Specialist legal, audit or certification advice should be commissioned separately where needed.

Can support continue after the initial engagement?

Yes. Follow-on support can include assurance, optimisation, implementation assistance, operating-model transition, documentation, capability building, managed support and periodic health checks under a separately agreed scope.

How is quality validated?

Quality can be validated through peer review, architecture and design checks, standards, automated and manual testing, reconciliation, performance review, security controls, acceptance criteria and documented sign-off responsibilities.

What information is needed to start?

Useful starting information includes business objectives, priority use cases, current architecture, systems and tools, known issues, data classifications, service expectations, timelines, stakeholders, constraints and existing assessments or designs.

How are outcomes measured?

Measures should be linked to the engagement purpose and may include delivery speed, reliability, performance, quality, reuse, adoption, cost, availability, control effectiveness, reduced manual effort and realised business value.

Discuss your enterprise data architecture requirement

Share your current situation, intended outcome and delivery constraints to identify an appropriate starting point.

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