Data and dashboards

One set of numbers, refreshed before your day starts.

Pipelines that bring your data together on a schedule, checks that catch bad data early, and dashboards people actually use.

The problem

If it takes a day to build the report, the report is already a day old.

Your numbers live in ERP exports, spreadsheets and three different systems. Every weekly review means a day of copying, pasting and checking. And when two reports disagree, nobody knows which one is right, so decisions wait.

What we do

What it does, working as one system.

  1. 01

    Scheduled pipelines

    Data pulled from each source on a schedule into one warehouse, with history kept.

  2. 02

    Data checks

    Tests that flag missing, late or odd data before it reaches a report.

  3. 03

    One definition per number

    Each key metric written down once, so every report calculates it the same way.

  4. 04

    Dashboards and reports

    Dashboards, scheduled emails and AI summaries for the people who need them.

Weekly operations dashboard: revenue, orders, margin and stock cover, a revenue trend against target and last year, revenue by region, top-moving products and data source checks.

How it works

From your data to a working system.

  1. Trace the numbers

    Where each number really comes from, and who relies on it.

  2. Build the pipelines

    Sources loaded and modelled in a warehouse, with checks on every load.

  3. Agree the metrics

    Definitions signed off by the people who use them.

  4. Ship the dashboards

    Starting with the report that hurts most.

What changes

What you get from it.

  • The weekly report builds itself. Ready before the meeting, not the night before.
  • Bad data caught at the door. Checks run before anyone sees a number.
  • One answer per question. Every report uses the same definitions.
  • Time back for the people who built the spreadsheets. They get to use the numbers instead.

How we engage

Start small. Decide with evidence.

  1. Step 1 · Pilot

    Prove it on your data

    Automate the one report your team rebuilds by hand every week, from source to scheduled email.

    Fixed scope · fixed price · agreed before work starts

  2. Step 2 · Build

    Roll it out

    If the pilot earns it, we build the full system, connect the rest of your data and bring your team onto it.

    Only if the pilot earns it

  3. Step 3 · Run

    Run it, or own it

    We keep it running and improving, or hand it over with the code, the documentation and a runbook.

    Your code · your data · your cloud account

Questions

What people ask before a first call.

Which tools do you use?

Whatever fits your size and budget. Often AWS serverless services, a cloud warehouse and a standard dashboard tool, rather than a large platform.

Do we have to move everything at once?

No. We start with one report, make it automatic and trusted, then extend.

Start with a conversation

Tell us what's slowing your operation down.

A 30-minute call with the people who would build it. You leave knowing whether a pilot makes sense, and what it would cover.