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Data architecture and design

Building the right data foundations. 

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The data challenge – poor architecture compounds every data problem

Scalable, technology-aligned architecture that supports your data unification, governance and AI ambitions – designed to DAMA and TOGAF standards and aligned to your chosen platform. 

Many organisations attempt to build intelligent data capabilities on top of poorly designed or undocumented architecture. The result is technical debt that accumulates faster than it can be remediated, integration failures, and governance frameworks that cannot be enforced at the platform level. 

Without a well-designed architecture aligned to business domains and AI requirements, your intelligence projects stall, data quality improvements cannot be sustained, and platform investments do not deliver the expected return. 

Our data architecture and design offering unlocks your data foundations. 

 

Our data architecture and design offering

Both technology-agnostic and platform-specific architecture design, aligned to industry standards and your organisation’s specific data and AI requirements.

Current architecture review

Assessment of your existing data architecture, integration patterns and platform landscape, to identify constraints and opportunities.

Target architecture design

Design of the target data architecture – including lakehouse, warehouse, data mesh or streaming patterns, aligned to your business and data requirements.

Platform selection support

Technology-agnostic evaluation across Microsoft Fabric, Azure Synapse, Databricks, Snowflake, AWS and Oracle, to identify the right fit.

Data modelling

Data model design including domain-driven data product structures and semantic layer definition.

Security and governance design

Security-by-design architecture including role-based access control, data classification, sensitive data handling and lineage-enabled pipeline design.

DAMA and TOGAF alignment

Architecture deliverables aligned to DAMA DMBoK and TOGAF standards, ensuring consistency with enterprise architecture frameworks.

Our data architecture and design methodology

1. Architecture discovery

Review of existing systems, integration patterns, data flows, and constraints alongside strategic requirements and data and AI use case priorities.

2. Options and evaluation

Development of architecture options with clear analysis across scalability, cost, governance, and data and AI readiness dimensions.

3. Target architecture definition

Co-design of the target architecture with client technical and business stakeholders, validated against business requirements.

4. Design documentation

Production of comprehensive architecture documentation including patterns, standards, and a transition roadmap from current to target state.

Our data expertise

We partner with global technology leaders to provide you with the highest quality solutions and services. Our long-standing and enhanced partner relationships and market leading expertise in each partner’s technologies allows us to tailor solutions to your unique needs.  

 

We are highly accredited by our global technology partners and have been recognised and awarded for our excellence in bringing technology enabled solutions and services which drive customer success. 

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Unified data and AI – Data architecture and design

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