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Cloud Data Platform & Warehouse Build for UK Businesses

We architect cloud data platforms and warehouses that create reliable, scalable foundations for enterprise analytics and AI.

Discuss your data architecture

What we build

From data integration to governance, we deliver every layer of a modern data platform.

Data Warehouse Design

We design and implement modern data warehouses using star schemas and best practices for performance and maintainability.

↳ A clean, documented warehouse your team can own

Cloud Data Platforms

Azure, Microsoft Fabric, Databricks - we build, configure and integrate cost-effective cloud data platforms tailored to your business.

↳ Scalable cloud infrastructure without unnecessary cost

Data Integration & Pipelines

Automated ETL/ELT pipelines bringing data from multiple source systems into a single, governed environment.

↳ Reliable automated data pipelines from day one

Data Governance

Data cataloguing, lineage, classification, lineage monitoring and access control built into the platform from day one.

↳ Trusted, classified data across every data source

Semantic Modelling

Business-friendly data models that translate raw technical schemas into terms and measures the business understands.

↳ Analysts spending time on insight, not translation

Migration & Modernisation

We plan and execute migrations with minimal disruption, whether from on-prem, legacy warehouse, or another cloud environment.

↳ Live on the new platform with zero data loss

Methodology

Technologies we work with

  • Microsoft Azure (Data Factory, Synapse, SQL)
  • Microsoft Fabric (Lakehouse, Warehouse, Dataflows)
  • Databricks (Unity Catalog, Delta Lake, MLFlow)
  • Power BI (Semantic Models, Dataflows, Paginated Reports)

When you need this

  • Your analytics platform has no proper data foundation
  • Reports are slow, inconsistent or unreliable
  • You need to unify data from multiple ERP/CRM systems
  • You're preparing your data estate for AI and machine learning

Common questions

Data platform questions

Do we need a data warehouse before we can use Power BI?

Not always, but usually. Connecting Power BI directly to operational systems (ERP, CRM) works as a starting point, but it creates performance problems and unreliable numbers as usage grows. A proper data platform gives you a single governed source that all reports draw from - making Power BI faster and your numbers trustworthy.

What is the difference between a data lakehouse and a data warehouse?

A data warehouse stores structured, processed data optimised for reporting. A data lakehouse combines raw storage (lake) with structured query capability (warehouse) in one layer - so you can store raw source data and serve clean reporting tables from the same platform. Microsoft Fabric's OneLake architecture is a lakehouse model.

How do you connect a data warehouse to our ERP system?

We build data pipelines that extract data from your ERP - Business Central, SAP, Dynamics, or others - on a scheduled basis and load it into your data platform. We handle incremental loads, error handling, and schema changes so the pipeline remains reliable as your source systems change.

How long does a data platform build take?

A core data platform - ingestion pipelines, staging layer, and a reporting-ready data model - typically takes ten to sixteen weeks for a mid-market business with three to five source systems. We structure work in phases so you get usable reporting data before the full platform is complete.

Also explore

Service

Microsoft Fabric

Our preferred platform for modern data architecture — lakehouse, warehouse and pipelines unified.

Service

Analytics Acceleration Programme

The structured programme that governs how we build and maintain your data platform.

AI

AI-Ready Data Foundations

How a well-built data platform becomes the foundation for trustworthy AI and Copilot.

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Need a data platform that scales?

Let’s discuss your data architecture. We’ll recommend the right approach for your organisation.

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