Data Architecture

Data architecture defines how organisations collect, store, process, and use data to support business objectives. We design data platforms, data pipelines, and data governance frameworks that enable organisations to become data-driven.

What is Data Architecture?

Data architecture is the design of systems and processes for managing data throughout its lifecycle, from collection and storage to processing, analysis, and consumption.

Effective data architecture enables organisations to access, understand, and use data to support decision-making, analytics, and AI capabilities. It addresses challenges like data silos, data quality, data integration, and data security.

Data platform design
Data pipeline architecture
Data governance frameworks
Data quality management

Data

Problems

Problems Data Architecture Addresses

Many organisations struggle with data-related challenges:

Data silos preventing comprehensive insights
Poor data quality undermining decision-making
Limited data access and complex processes
Lack of data governance frameworks
Inability to scale analytics and AI workloads

Typical Outcomes

Unified Data Platform

Centralised or federated data platform providing access to data across the organisation

Improved Data Quality

Processes and frameworks ensuring data is accurate, complete, and consistent

Faster Insights

Data pipelines and platforms enabling teams to access and analyse data quickly

When Organisations Need Data Architecture

Data architecture is essential when:

Building analytics capabilities
Implementing AI or machine learning
Facing data integration challenges
Requiring regulatory compliance
Moving to data-driven decision-making

When

How Data Architecture Relates to Other Services

Cloud Architecture

Cloud platforms provide data services like BigQuery and Cloud Storage essential for modern data architectures

AI Architecture

Data architecture provides the data pipelines and platforms that AI systems need for training and inference

Enterprise Architecture

Data architecture is a key domain within enterprise architecture, showing how data flows through the organisation

Cohesive Architecture's Approach

Practical & Scalable

We focus on creating practical, scalable data platforms that enable organisations to become data-driven. We design for both technical and organisational needs, ensuring that data architectures support effective data governance and usage.

Governance & Accessibility

We work with organisations to establish data governance frameworks that balance control with accessibility, ensuring data is managed effectively whilst enabling teams to use data for decision-making and innovation.