Villa Plus
Migrated their reporting stack from a maze of Sheets and exports to a Fabric-backed Power BI platform. The numbers now agree with each other.
Saves £100k+ annually in analyst time.
Quiet data. Reliable software. Plain language.
Work with usThe point is for the work to still be useful after we've left.
We're a small UK consultancy. Two or three of us, depending on the project. We build data platforms, bespoke software, and the analysis that sits between them.
A lot of what we do is tidying up: dashboards nobody opens, pipelines that quietly break, reports that arrive a week late. We're often the third consultancy a client has tried, and we'd rather leave a team that can maintain the work themselves than one that has to keep ringing us.
Roughly 40% of analysts' time is spent searching for, or cleaning, data rather than analysing it. IDC, 2020
Drag through the dots in order.
There it is.
What we do.
- Data Platforms
- Microsoft Fabric, Synapse, Snowflake. We design them, build them, and hand them over with documentation that actually gets read.
- Analytics & Reporting
- Power BI, DAX, executive dashboards. Usually after a few awkward conversations with the people who'll use them day to day.
- Bespoke Software
- .NET, web apps, internal tooling. For when an off-the-shelf system nearly fits, but not quite.
- Data Culture
- Training analysts, setting standards, helping clients hire their own team when they should. We recommend that more often than people expect.
What the team has delivered.
Across the two or three of us, depending on the project.
£500k+Annual savings delivered
20+Data experts trained
7Pro bono projects delivered
8+Industries served
Selected work.
Oxford Instruments
Long-running data engineering partnership on their global analytics platform. Fabric, DAX, and a lot of careful rework on pipelines that used to break quietly.
A £300m+ manufacturer's production-grade Fabric platform.
Teenage Cancer Trust
Data migration from Care NG to Beacon CRM across millions of supporter records. We embedded a data-quality culture across the team and rebuilt the operational reports they actually use.
Data quality, 30% to 90%.
Have a problem worth
solving properly?
No slides, no hard sell, just a conversation. Tell us what you're working on and we'll tell you honestly whether we're the right fit.
Start a conversation