Technologies
The Microsoft data stack — engineered end to end
We are a Microsoft-aligned practice. Azure, Power BI, Fabric and SQL are the backbone of every analytics platform we deliver — chosen, configured and engineered together so the whole stack performs as one product.
The Stack
Four pillars, one engineered platform
Each layer is deliberate. Azure underneath, Fabric and SQL as the data estate, Power BI as the experience the business uses every day.
Microsoft Azure
The enterprise cloud foundation underneath every platform we build — Data Lake Storage Gen2, Azure SQL, Event Hubs, Functions and Key Vault. Landing zones, networking, private endpoints and policy designed for regulated environments.
- Landing zones & networking
- Identity & access controls
- Cost, capacity & FinOps controls
Microsoft Fabric
OneLake as the single tenant-wide data estate, with Lakehouse, Warehouse, Data Factory, Real-Time Intelligence and Data Activator working as one unified platform. We design capacity topology, workspace strategy, medallion architecture and deployment pipelines that scale across business domains.
- OneLake & medallion design
- Capacity sizing & workspace topology
- Deployment pipelines & DataOps
Power BI
The reporting and semantic layer the business actually uses. Performance-tuned semantic models, DAX engineering, RLS/OLS, composite models, calculation groups, field parameters and paginated reports — delivered to standards that hold up at tens of thousands of users.
- Enterprise semantic models
- DAX performance engineering
- Tenant, governance & visual standards
SQL & Data Modelling
T-SQL, Azure SQL, SQL Server, Fabric Warehouse and the dimensional modelling discipline underneath it all. Star schemas, conformed dimensions, slowly changing dimensions, partitioning, indexing and query tuning — the engineering fundamentals that make analytics fast and trustworthy.
- Dimensional & star-schema design
- Query tuning & partitioning
- Migration & modernisation
Power BI Expertise
Power BI at enterprise depth — the way the platform was meant to be used
We have delivered Power BI estates serving tens of thousands of users across finance, operations, supply chain and the front line. Our practitioners hold Microsoft certifications and a working track record across every meaningful pattern in the platform — semantic model design, DAX optimisation, composite and DirectQuery models, calculation groups, field parameters and paginated reports.
We treat Power BI as an engineered software product — version controlled, peer reviewed, performance budgeted and continuously improved. Not a dashboard sprawl problem waiting to happen.
Semantic modelling
Star-schema discipline, role-playing dimensions, aggregations, perspectives and calculation groups.
DAX engineering
Performance-tuned measures, time intelligence patterns, dynamic security and reusable measure libraries.
Performance & scale
VertiPaq analyser, query plan tuning, partitioning, incremental refresh and aggregations for billion-row models.
UX & design system
Boardroom-grade visual standards, theme system, accessibility and reusable report templates.
Tenant administration
Workspace topology, capacity sizing, deployment pipelines and tenant settings hardened for enterprise.
Why our technology choices matter
Engineered for the business outcomes that matter
The Microsoft data stack is a deliberate choice — reduced complexity, lower support burden, scalability, governance and security all engineered in from the start.
Reduced complexity
One integrated stack instead of a sprawl of disconnected tools — fewer integrations to maintain, fewer vendors to manage, faster delivery.
Lower support burden
Common operating model across Fabric, Power BI and Azure means support teams cover the whole estate without specialist silos.
Scalability
Capacity-based scaling from a handful of users to tens of thousands without re-architecting — proven on the platforms we run today.
Governance
Certified semantic models, lineage and sensitivity labelling built into the platform — not bolted on after the fact.
Security
Entra ID, private endpoints, customer-managed keys and row-/object-level security aligned to enterprise control baselines.
Vendor-honest expertise
Microsoft-aligned, certified at the deepest levels — and the integrity to recommend differently when a specific problem calls for it.
These same enterprise engineering standards underpin the Autometryx platform — productised analytics for the automotive sector, built on the identical governance and performance discipline we apply to every consulting engagement.
Discovery Engagement
Speak to a senior advisor about your data, BI and analytics agenda.
A 30-minute conversation with one of our principals — not a sales call. An honest read on where data and analytics can move the needle, and what a credible delivery plan would look like.