Most data teams are busy.
Few are productive.
Manual deployments. Security configs done by hand. Reports that break in production. Dashboards nobody trusts. These aren't technical problems — they're symptoms of a data platform that grew without a plan.
We fix the foundation — on Power BI, Microsoft Fabric, and Azure — so your team can focus on the work that actually matters.
Each one fixes a specific problem.
Most Power BI estates grow organically — one report at a time, one developer at a time. The result is duplicated measures, inconsistent numbers, and dashboards Finance and Actuarial teams won't sign off on.
We design and build enterprise semantic models with a single version of the truth. DAX that performs under real data volumes. Tabular Editor workflows that make models maintainable long after we leave.
Your leadership team stops debating which report is correct and starts acting on what the data says.
Legacy SQL databases, spreadsheet extracts, and undocumented pipelines are holding most data teams back. Querying takes minutes. Onboarding takes months. Nobody knows where anything comes from.
We design modern lakehouse architectures on Microsoft Fabric and Azure — star schemas, Delta Lake, incremental refresh, and cross-workspace query patterns that scale without falling over.
Your analysts stop waiting for data and start finding answers. New data sources go live in days, not quarters.
Manual Power BI deployments are error-prone, undocumented, and entirely dependent on whoever did them last. One wrong move in production means a late night for someone.
We build Azure DevOps pipelines with declarative JSON configs, PowerShell modules, and automated workspace management. Four environments, approval gates, full version history — the same discipline software teams take for granted.
Releases that used to require a developer babysitting a process now run unattended. Errors that reached production stop happening.
Row-Level Security configured by hand, once, years ago. Access reviews nobody can complete because nobody documented what was built. Compliance frameworks that assume your data platform is more organised than it is.
Metadata-driven RLS automation that applies security rules across every client from a single registry. RBAC, Azure Key Vault, Entra ID governance — built once, maintained centrally, auditable on demand.
Security reviews pass first time. New clients and users onboard without touching the codebase.
Most training doesn't stick because it isn't built around your data. Generic DAX courses, vendor-led workshops on toy datasets — and six months later the team is still raising the same tickets.
Hands-on workshops built around your actual models, your actual schema, your actual problems. DAX deep dives, Tabular Editor workflows, Power Query patterns, and Microsoft Fabric fundamentals — taught by someone who ships this in production.
Your team leaves knowing how to maintain and extend what we built together — without needing to call us for every change.
Every engagement, the same way.
Understand the problem
We start with your environment, not a proposal template. What's breaking, what's slow, what your team is working around.
Design the right solution
Architecture decisions made with your constraints in mind — your stack, your team, your timeline. No gold-plating.
Build and ship to production
We don't hand over a prototype. Everything we build is deployed, tested, and running before we leave.
Leave you self-sufficient
Documentation, handover sessions, and training so your team can maintain and extend what we built together.
Frequently asked questions
Bring the problem.
We'll be honest about the solution.
Tell us what's slowing your team down. We'll tell you honestly whether we can help and how.