Your data is everywhere. Your answers shouldn’t be.
Most organisations we work with run reporting across spreadsheets, an ageing warehouse and a patchwork of BI tools — and nobody fully trusts the numbers. We help you bring it together on Microsoft Fabric, Power BI and Azure, without stopping the reports your business already depends on.
Book an assessment
Start with the problem in front of you.
Every organisation arrives here differently — a warehouse at end of life, a reporting backlog, an AI initiative stalled on data quality. As a Microsoft Solutions Partner holding four Specialisations across three Solution Partner areas, we run a service line for each of the common entry points.
Microsoft Fabric Consulting
Weighing up Fabric but unsure what it replaces, what it costs to run, or where to begin? We help you make the call with evidence from your own estate, not slideware.
Learn moreFabric Migration Services
An ageing warehouse or Synapse estate holding you back? We migrate workloads to Microsoft Fabric in phases, so your reporting keeps running throughout.
Learn moreAdvanced Analytics and Power BI
Month-end still built in spreadsheets? We replace manual reporting with governed, interactive Power BI dashboards your leaders can rely on.
Learn moreData Warehouse
Data scattered across a dozen systems? We bring it into one secure, cloud-first platform that’s ready for analytics and AI.
Learn moreData Management Services
Plenty of data activity but no clear direction? We assess your estate and build a roadmap prioritised by impact, risk and effort.
Learn moreData Team as a Service
Need data engineers and analysts without hiring a full team? On-demand capacity that scales up and down with your delivery pipeline.
Learn moreThe old warehouse still works. That’s exactly the problem.
Legacy SQL and Synapse estates rarely fail outright — they just get slower to change and more expensive to run, while every new analytics or AI initiative waits behind them. The risk of migrating feels bigger than the cost of standing still, so nothing moves.
We take the risk out of the move. Our assessment tooling identifies which workloads are ready for Microsoft Fabric, automates object conversion, and accelerates environment provisioning. Migrations run in phases, with your existing reporting kept live until each replacement is proven in production — a cutover measured in weeks, not quarters.
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If the board pack takes a week to build, it’s already out of date.
You’ve probably seen the cycle: analysts export data into Excel, reconcile versions, rebuild the same charts, and by the time leadership reads the pack the month has moved on. The problem isn’t effort — it’s that the reporting was never designed to be repeatable.
We build governed, interactive Power BI dashboards on properly modelled data, with a guided rollout so people actually adopt them. When Haileybury College moved its student reporting onto OneView — our analytics product built on Microsoft Fabric and Power BI — report preparation time fell by 80%. Same analysts, doing analysis instead of assembly.
Learn moreEvery AI initiative stalls at the same wall: the data isn’t ready.
Most organisations hit it within the first month of any AI project. The data exists — in the student system, the CRM, the finance platform, the spreadsheets nobody admits to — but it isn’t connected, cleaned or governed well enough to build on.
We build cloud-first data platforms that bring it together, using reusable frameworks and embedded data quality pipelines so your data arrives structured, accurate and ready for analytics and AI. That might be a Microsoft Fabric lakehouse, or it might be a governed SQL warehouse — a full lakehouse build is more platform than many organisations need, and we’ll tell you in the first conversation which one your estate actually justifies.
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A roadmap that survives contact with the budget cycle.
Data strategies fail for predictable reasons: they’re written around technology rather than decisions, they’re not sequenced against effort and risk, and nobody owns them once the workshop ends. Ours start with a clear-eyed assessment of your environment — technical scans plus stakeholder workshops — and end with a plan your executive can actually fund.
Learn moreAssessment first
Technical scans and stakeholder workshops surface the roadblocks, gaps and quick wins before anything gets designed.
Prioritised by impact
Every initiative on the roadmap is sequenced by business impact, risk and effort — so the argument for funding writes itself.
Governance that sticks
Operating models, ownership and governance frameworks embedded across people, process and platform — not left in a slide deck.
Reviewed against outcomes
The roadmap is revisited as delivery progresses, so priorities shift with the business rather than against it.
One engagement at a time, with an exit at every stage.
You shouldn’t have to sign a multi-year programme to find out whether the partnership works. Each stage stands on its own — the assessment is useful even if you take the roadmap elsewhere — and most clients continue because the previous stage delivered, not because the contract says so.
Assess
Fixed scopeA technical scan of your data estate plus workshops with the people who live in it. Output: written findings, a readiness view for Microsoft Fabric and Power BI, and a recommendation on what to do first.
Roadmap
Prioritised planInitiatives sequenced by impact, risk and effort, mapped to your budget cycle. You get the business case for each stage — not just an architecture diagram.
Build
Short releasesDelivery runs in short, scoped releases with real users in production. Your existing reporting stays live until each replacement has earned its place.
Run
Fortnightly sprintsA dedicated Technical Lead, active monitoring, monthly roadmap reviews and ongoing delivery through Data Team as a Service. The team that built the platform is the team that runs it.
Book a Fabric and Power BI assessment
A working session with our data practice. We’ll look at your current estate, walk through what a Fabric migration or Power BI rollout would involve for an environment like yours, and leave you with a written view either way.
If we’re not the right fit for the complexity involved, we’ll say so.Data platform questions, answered straight
Power BI is the reporting and visualisation layer — the dashboards, semantic models and reports your leaders look at. Microsoft Fabric is the broader data platform underneath it: data engineering, warehousing, real-time analytics and data science in a single environment, with Power BI as its front end.
If you already use Power BI, you’re partway there. Fabric extends what you have rather than replacing it, and your existing licensing and skills carry forward.
No — and you shouldn’t. Migrations run in phases. Our assessment tooling identifies which workloads are ready to move first, and your existing reporting stays live until each replacement is proven in production. Most organisations start with one or two high-value workloads and expand from there.
They keep running. Power BI sits on top of Fabric natively, so well-built reports carry across with their data sources repointed rather than rebuilt. The assessment identifies the reports that need rework — usually the ones held together by manual refreshes — before the migration starts, so nothing surfaces as a surprise mid-flight.
With an assessment, not a platform. Technical scans and stakeholder workshops establish what data you have, where it lives, and which of it actually matters to the decisions you’re trying to make. From there the roadmap is sequenced by impact, risk and effort — most organisations find their first win is smaller and closer than they expected.
Governance is built into the platform rather than bolted on afterwards: Microsoft Entra ID for identity, workspace and row-level security in Power BI, data quality pipelines embedded in the ingestion layer, and clear ownership models for who can publish what.
For the education, health and not-for-profit organisations we work with most, that also means accounting for the sector-specific privacy obligations that generic deployments tend to miss.
The platform doesn’t get handed to a support desk that’s never seen it. Data Team as a Service keeps the same engineers and analysts engaged on a monthly retainer — fortnightly sprints, a dedicated Technical Lead, active monitoring and monthly roadmap reviews. Backlogs get delivered, not logged.