Business Intelligence & Insight
Modern data stacks, semantic layers and editorial dashboards — for leadership teams who want clarity, not more charts.
What we do, and why.
Most BI projects fail in the same place: in the gap between a number and a decision. We close that gap with a semantic layer that everyone agrees with, and dashboards that read like editorials.
We design metrics with the leadership team in the room. We write the explanations under each chart. We make the weekly digest something a CEO actually opens — and the result is decisions that don't wait for Monday's stand-up.
Behind the scenes, we modernise the warehouse: dbt for transformations, semantic models in Cube or LookML, observability that quietly catches the drift.
What we deliver.
Decision dashboards
Editorial boards designed for the three questions leadership actually asks — with written explanations beside every chart.
Semantic layer
One canonical model of revenue, customers and product — wired into BI, AI agents and downstream tools.
Weekly digest
Plain-English summaries of what moved this week, generated automatically, reviewed by humans.
KPI & forecast review
Quarterly working sessions to retire dead metrics and add the ones that matter.
Tools we trust.
Four phases, one rhythm.
Discover
Listen, map, name the real question.
Design
Sketch the system before we build it.
Build
Ship production work, weekly.
Scale
Hand over, harden, compound.