Data you can trust.
Your data calculations run as code, with automatic checks and documentation, so reports show the same numbers in every tool.
Build data flows that scale.
Calculations that survive change.
Most teams spend more time defending their numbers than using them. Every dashboard defines the same measure slightly differently. Every change in a system breaks a report. The cause is common: calculation logic scattered across dashboards, spreadsheets and one-off queries.
We build the layer that keeps BI unified. Data models under version control, with documented lineage. Automatic checks at every stage and continuous review of changes, so errors are caught before they reach a dashboard. And shared definitions, so numbers mean the same everywhere.
Analysts then trust the data, decision makers get consistent answers, and the knowledge of how each measure is calculated lives in code, not in the heads of two people who might leave.
What changes for you.
Code with history
All calculation logic in a repository with reviews and instant rollback on any change. No SQL hidden in dashboard settings.
Automatic checks
Checks on structure, freshness and integrity, plus logic checks (for example, revenue within sensible limits). They run on every execution and errors are caught before they reach reports.
Shared definitions
Definitions of measures (for example, "revenue") are set in one place, so they mean the same in every dashboard and analysis.
Automatic documentation
Documentation is generated from the code itself: data lineage, column descriptions and dependencies, visible to anyone who needs them.
Calculations in the warehouse
Raw data is loaded first and calculations run inside the warehouse. It's the modern approach, and it scales better for most workloads.
Cost control
We optimise query speed and cost, so your data warehouse bill doesn't grow faster than the business.
How we work.
Audit
We review the calculations, the definitions of measures and the pain points: where logic is scattered, where checks are missing, where knowledge is kept.
Design
We define the calculation architecture, shared definitions, check coverage and the way of working that will maintain them. We document it before implementation starts.
Delivery
We migrate or build the models, switch on the checks and set up continuous integration of changes and automatic documentation.
Handover
We hand over to your team with training in the way of working, or keep running it. The goal is a practice your team maintains and extends, not a black box.
Common questions.
Trust your data.
Let's talk about calculations under version control, automatic checks and the way of working that keeps all of BI unified.
Request a pipeline audit