Cloud data platforms on Azure
A central data model in Azure SQL that pulls from your operational systems on a schedule or as events happen.
Data platforms
Most businesses have the data they need. It's just spread across five systems, three exports and a spreadsheet only one person understands. We bring it together into a cloud data platform on Azure that is fast, documented and yours.
If any of these are true, this is where we can help.
A central data model in Azure SQL that pulls from your operational systems on a schedule or as events happen.
Customers, jobs, stock, people and cash modelled once, with business rules applied consistently so every report agrees.
Slow queries and reports rebuilt so they run in seconds. One payroll report we rewrote now runs about 155 times faster with identical output.
Moving years of history onto a new platform with cohort definitions, collision checks up front and a step-by-step runbook for the cutover.
Duplicate records, gaps and conflicting sources found and fixed, with clear ownership of who maintains what.
Data structured, secured and permissioned so AI tools can work on it safely and give answers you can trace back to the source.
We start by mapping where your data lives today, which system owns each piece of information, and which reports or processes depend on it. From there we design a data model around how your business actually works, not around how the source systems happen to store things.
We build incrementally. The first release usually covers the data behind your most important report or process, so you see value early. Each source is connected, reconciled and documented before we add the next one.
Everything runs in your own Azure tenant, with role-based access and secrets held in Key Vault. You get documentation good enough that another developer could pick it up.
If you’re planning to roll out Copilot or build AI agents, the data underneath decides whether it helps or embarrasses you. Permissions, duplicates and stale records all show up in AI answers. Our checklist on whether your data is ready for AI is a good place to start, and our AI and agents work picks up from there.
Tell us about the report nobody trusts or the process that eats a day a week. We'll tell you straight whether we can help, and what it would take.