Who We Are
Solving the gap between strategy and delivery
DataGo was founded to solve a problem we kept seeing in UK mid-market organisations: scattered GenAI experiments with no clear path to production, broken data platforms held together with Excel and hope, and strategic AI plans that stall the moment implementation begins.
Most consultancies deliver a 60-slide PowerPoint deck with generic recommendations. Most system integrators want to sell you a 12-month platform build. We do neither.
We deliver evidence-backed, implementation-grade artefacts that your delivery teams can use immediately—whether that's a delivery-ready backlog from an AI Readiness Audit, or a governed Azure Fabric platform built in 4-8 weeks.
Our Approach
What Makes Us Different
Evidence-backed
Every recommendation traceable to interview transcripts, document excerpts, and system assessments. No generic templates—actual findings from your organisation.
Implementation-grade
Not just a deck—architecture packs and delivery-ready backlogs that your teams can import into Azure DevOps and start sprinting.
UK-bound by design
Designed around UK data processing and procurement expectations. Azure-first, GDPR-native, with governance built in from day one.
Technology
Our Technology Expertise
We specialise in Azure-native platforms and best-of-breed AI/analytics tools
Azure Fabric
End-to-end analytics platform with integrated AI, native Power BI integration, and UK data residency. Ideal for Microsoft-heavy estates.
Microsoft Copilot
Embedded GenAI across Microsoft 365, Dynamics 365, and Fabric. Brings AI capabilities to business users without custom development.
Microsoft AI Foundry
Unified platform for building, evaluating, and deploying generative AI applications. Integrates Azure AI services with prompt flow orchestration and built-in model catalogue.
Databricks
Lakehouse platform with Unity Catalog for governance and strong ML/AI tooling. Cloud-agnostic (Azure, AWS, GCP).
We're platform-agnostic: We assess your current estate, use cases, and team skills, then recommend the best-fit technology stack. Often, a hybrid approach works best—e.g., Fabric for reporting + Databricks for ML workloads.
Our Clients
Who We Work With
UK Mid-Market Organisations
ÂŁ50m-ÂŁ500m revenue, 200-2,000 employees. You've got pockets of GenAI activity but no cohesive strategy. You need something your delivery teams can actually execute.
Azure-First Enterprises
Already using Azure, Office 365, or Dynamics 365. You want to understand how Copilot, Azure OpenAI, and Fabric fit into your existing estate.
Governed, Compliance-First Sectors
Financial services, healthcare, public sector. You can't just "move fast and break things"—you need evidence-backed plans and risk assessments.
Leadership
Led by Dale Harrison
DataGo is led by Dale Harrison, a data platform and AI delivery specialist with extensive experience helping UK mid-market organisations navigate the gap between AI strategy and implementation reality.
Dale has delivered Azure Fabric, AI Foundry, and Databricks implementations across financial services, healthcare, and public sector organisations—always with a focus on governance-first, evidence-backed approaches that actually work in practice.
Get in touch
dale@datago.ukReady to turn strategy into implementation?
Whether you need an AI Readiness Audit or a governed Azure data platform, we'll help you move from plans to production.