Most reporting platforms break the day the underlying schema changes.

Three shapes of engagement. Pricing is per engagement — the discovery sprint is fixed-fee and a low-risk way to begin.

[01]

Discovery sprint2–3 weeks · Fixed fee

We trace where the numbers come from, where they diverge, and what a trustworthy reporting layer would need to do.

[02]

Embedded build6–14 weeks · Quoted per engagement

We build the semantic model, the refresh system, and the reporting on top — with tests that fail loudly when the source changes.

[03]

Advisory retainerOngoing, monthly · Monthly retainer

We keep the model honest as sources, schemas, and definitions drift. Governance is a habit, not a project.

A few projects in this lane. Each one is a real engagement with a full case study.

Project Marrburn

A medallion data architecture under a bespoke operations platform — auto-ingested files, conformed in the middle, shaped at the top into BoM, inventory, planning, stock, and financial modelling.

Project Integral Mesh

Semantic models imported from Power BI, then natural-language query over data and documents — all running on-premise behind the firewall.

[01]

We already have dashboards. Why does this matter?

Dashboards are the easy part. The hard part is the model underneath — making sure a number means the same thing on every screen, and still means it after the next source change.

[02]

What tools do you use?

We're comfortable across the common warehouse and BI stacks. The tool matters less than the model and the tests around it.

[03]

What is a semantic model, in plain terms?

It's the single agreed definition of each metric — what revenue, or a breach, actually means — sitting between the raw data and every report. Get it right once and the reports agree.

[04]

Can you fix reporting we already have?

Often. We start by tracing the numbers. Sometimes the fix is the model; sometimes it's the refresh; occasionally it's a definition nobody agreed on.

[05]

How do you handle governance?

Lightly but consistently. Definitions in version control, changes reviewed, tests that catch drift. Governance that needs a committee tends not to happen.

[06]

What about data quality at the source?

We surface it rather than paper over it. If a source is wrong, the reporting should make that obvious, not average it away.