Service 06

Data Warehousing & Business Intelligence

When the sales director, the CFO, and the ERP disagree about last month's revenue, the meeting stops being about revenue. We build the warehouse and the pipelines that make one set of numbers everyone can cite - and dashboards that answer questions instead of decorating them.

Business intelligence dashboard with charts on a laptop

Where the data actually lives

01

Warehouse design & build

A dimensional model built from your business questions backward - not a mirror of the ERP's table structure. Sized honestly: most mid-size companies need a well-modeled warehouse measured in gigabytes, not a data lake measured in buzzwords.

02

Pipelines & data quality

Scheduled, monitored ETL from ERP, POS, e-commerce, and the spreadsheets that refuse to die. Every load reconciles record counts and control totals against the source, and failures alert us before your Monday meeting discovers them.

03

Reporting & dashboards

Role-shaped dashboards: the CFO's view opens with margin bridge and cash, the ops manager's with fill rate and aging. Every metric carries a definition - click it and see exactly how 'net revenue' is computed, which kills the definitional arguments for good.

Getting to trusted numbers

01

Start from ten questions

We ask your leadership for the ten questions they most need answered on Monday morning. The warehouse schema is designed to answer those first - everything else is roadmap.

02

Reconcile before we visualize

The first deliverable is unglamorous: warehouse totals matching source-system totals, signed off by finance. Dashboards built on unreconciled data are just confident-looking guesses.

03

Ship one dashboard people fight over

The first dashboard goes to the team with the sharpest daily need. When other departments start asking for their version, adoption is pulling the project instead of the project pushing adoption.

Why our BI work sticks

We know what the source fields mean

Because we implement the ERPs, we know that 'confirmed' in the order table doesn't mean shipped, and which stock quantity of the four Odoo offers is the one your CFO thinks they're looking at.

Definitions before dashboards

The metric dictionary - what counts as revenue, when an order counts as fulfilled - is agreed and signed before charts are drawn. Most BI failures are semantic, not technical.

Built to be handed over

Models, pipeline code, and definitions live in version control with documentation. Your analysts can extend the warehouse without us - and that's by design, not an oversight.

Before you email us

Bring the number two departments disagree about.

That disagreement is the fastest way to see how we work: we'll trace it to the source fields, show you why the versions differ, and outline the warehouse design that would end the argument.