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Numbers someone actually reads.

Every business has the report nobody opens, the spreadsheet only one person understands, and two systems that disagree about last month. I clean the data, reconcile it to something you trust, and build the reporting that makes decisions happen, from a well-made spreadsheet to a live dashboard, sized to what you will actually use.

Describe the numbers problem See the finished thing Why trust me with numbers

Live proof

The dashboard, on real-shaped numbers.

A finished dashboard for a multi-site business. Switch branch and period and every tile and chart updates. The flags call out what needs a decision. This is the Monday-morning view the spreadsheets were supposed to be.

live demoA finished dashboard

This working build runs in your browser and needs scripts enabled. Everything on the page describes what it does; turn them on to use it.

Derived straight from the source rows, so it cannot drift from the truth. Yours sits on top of your systems and refreshes itself.

The work

Cleaned, connected, reported.

Data cleanup and reconciliation

Duplicates, wrong merges, fields nobody trusts, totals that disagree with the accountant. Traced to the cause, repaired record by record where it matters, and reconciled against a source of truth so "fixed" is a checked fact, not a feeling.

Dashboards

Live numbers pulled from where they really live: sales, pipeline, jobs, on-time rates, exceptions. Built as fast web dashboards your team opens on a phone, derived from the record of what happened so they cannot quietly drift from the truth. There is a public example you can inspect.

Spreadsheet automation

The Friday ritual of copy-pasting three systems into one spreadsheet, retired. Data pulled from the sources directly, transformed once, delivered on schedule, and every number traceable back to where it came from. Excel and Google Sheets both.

Reports for the people above you

A decade of writing for executives, auditors and boards means the output is not a wall of charts: it is the three numbers that matter, what moved, and why, in plain language, with the detail behind it for whoever wants to dig.

Proof, not promises

Reconciled means reconciled.

The dashboard above is derived from its rows, so it cannot quietly disagree with them. That is the standard every number I hand you is held to, whether it is a shop's stock count or a clinic's billing: reconciled against a source you trust, with the working shown. It is a habit from a decade of records work in places where a wrong number has consequences. Ask your next data person what "done" meant on their last cleanup.

1working dashboard on this page, derived from its rows
12industries with a finished build you can use on the page
52automated checks passing in a public build you can compile
2rounds of client testing before any go-live
The record

Fair questions

Before you ask.

Our numbers do not match between systems.
My favourite kind of job. The method is the same at any size: trace the discrepancy to its cause, explain it in plain words, repair the records that matter, reconcile against a source you trust, then automate the join so it stays right.
Do we need a BI tool, or is a spreadsheet enough?
A spreadsheet is enough more often than the BI industry would like you to know, and a well-built one beats a dashboard nobody opens. The honest test is who reads it, how often, and from where. You get that recommendation before any tool gets bought.
Someone builds the same report by hand every week.
The most automatable hour in most businesses. Pull from the sources directly, transform once, deliver on schedule, keep every number traceable. The person gets their Friday back and the report stops depending on their memory.
Can AI help here?
Yes, carefully: summarising what moved and why in plain language, flagging anomalies worth a human's attention, tidying data as it arrives. What it must never do is invent a number, which is why everything here stays traceable to source. More at AI development.