Four practices that work together — or stand alone — depending on where you are in your data journey.
Specialised across the Microsoft data & cloud stack
Self-service BI, semantic models, executive dashboards, and advanced analytics that earn their place on the leadership review.
Read more →Modern lakehouse and warehouse architectures on Azure SQL, Synapse, and Fabric — dimensional, governed, and built to scale.
Read more →End-to-end Fabric adoption — OneLake, Data Factory, Warehouse, Real-Time Intelligence, and Power BI in one fabric.
Read more →Flat-fee operations, monitoring, patching, and on-call support for your data platform — so it stays as fast on day 300 as on day 1.
Read more →We design analytics that answer the questions your business is already asking — and surface the ones it should be. Built on Power BI and Fabric, governed by enterprise-grade semantic models.
Single source of truth across finance, sales, and operations — RLS-ready and certified.
Designed against the decisions they support, not the data that happens to exist.
Train your analysts to build the next 100 reports without raising a ticket.
Forecasting, segmentation, and AI Copilot integrations where they actually move a number.
From a costed roadmap in week one to a production dashboard suite by quarter end.
We don't push a template architecture. We design for your data volumes, latency needs, and team capability.
We design dimensional models, build resilient ELT, and put governance in place from day one — so the warehouse is something your finance and audit teams can sign off on.
Kimball-style stars and snowflakes, modelled around real business processes.
Idempotent loads, schema drift handling, watermarking, and full observability.
Lineage, data quality rules, and access policies as code — not afterthoughts.
From legacy SQL Server, Oracle, or on-prem stacks to a modern cloud platform.
Microsoft Fabric collapses ingestion, storage, warehousing, real-time, and BI into one SaaS platform. Done well, it dramatically simplifies your stack. Done casually, it creates new sprawl. We do it well.
Domain-driven layout, medallion architecture, and clear data ownership boundaries.
Source connectors, orchestration, and error handling that scale beyond proofs-of-concept.
SQL endpoints, Delta tables, and shortcut strategies that keep storage and compute under control.
Eventstreams, KQL databases, and live dashboards for the moments timing matters.
Direct Lake mode, semantic models, and licensing right-sizing.
Capacity unit monitoring, workload separation, and per-tenant chargeback.
We help you choose which workloads to adopt now, which to defer, and how to migrate without service disruption.
Pick the level of cover that matches your risk appetite — upgrade or downgrade quarterly.
A platform that's been live for a year needs more than monitoring — it needs a partner who understands the design, knows the data, and can act before the business notices.
Pipeline health, capacity, security, and cost dashboards we watch so you don't have to.
Coordinated rollouts of platform versions, with regression testing and rollback plans.
SLA-backed response with named engineers — not a faceless ticket queue.
Quarterly reviews, cost optimisation, and a roadmap for the platform's next year.
Tell us the symptom — we'll suggest the diagnosis. No obligation, no slide deck.
