Services
From SQL Server and SSIS estates to Azure and Power BI, we design, build, optimise and operate data platforms — and leave them documented, monitored and understood.
01
The foundations: platforms, pipelines and models that are correct, fast and maintainable.
Design and build the pipelines that move data from source systems into a platform your business can trust.
Dimensional models and warehouse architecture built for reporting performance and long-term change.
Deep, hands-on work in SQL Server, SSMS and SSIS — the platforms many enterprises still run on.
Move and extend on-premises SQL workloads onto Azure without losing control of cost or reliability.
02
For environments that have grown for years: make them faster, safer to change and easier to trust.
Find and fix the loads that run too long, fail too often or cost too much to maintain.
Planned, reconciled migrations between systems, versions and platforms — with impact understood up front.
Rules, checks and reporting that catch bad data before it reaches a decision-maker.
03
Turning a working platform into decisions — and keeping it running without heroics.
Semantic models, reports and dashboards designed around the decisions they support.
Operational discipline for data platforms: monitoring, SLAs, lineage and repeatable deployment.
Remove the manual steps between a data event and the people who need to act on it.
04
Our next horizon, built on the platform foundations above. These capabilities are in development.
Forecasting and prediction models built on clean, well-understood warehouse data.
Applied generative AI for data operations — grounded in your metadata, lineage and execution history.
How we work
Engagements are sequenced to reduce risk early and deliver value continuously — whether we're building a new platform or stabilising an existing one.
We review your environment — sources, pipelines, warehouse, reports and operations — and map where risk and cost sit today.
Output — Current-state map and prioritised findings
We design the target architecture and delivery plan, sequenced so every phase delivers something usable.
Output — Architecture, roadmap and delivery plan
We engineer, test and deploy in short increments, with lineage and monitoring built in from the start — not added later.
Output — Working pipelines, models and reports
We monitor, automate and optimise, handing over documentation and knowledge so your team stays in control.
Output — Monitored, documented, automated platform
Most engagements begin with an assessment of your current environment. Tell us what you're running and what's causing friction.