The numbers exist, but in four tools
Sales in one, hours in another, expenses at the accountant's. Assembling them takes half a day, so it happens monthly, so it's too late.
By situation
Last month's number arrives on the 20th of the next. By then it doesn't inform a decision, only confirms one.
A dashboard is worth only the decisions it changes. The test is one question in front of each metric: if this number doubles tomorrow, what do I do differently? Those with no answer are decoration, and they're what makes dashboards unreadable within six months.
What brought you here
Someone builds the report by hand
A spreadsheet rebuilt every month, by copy-paste. The report is reliable to the extent that the person was focused that day.
A dashboard was installed, and nobody opens it
Twenty-four charts across three tabs. Too much information kills decisions as surely as too little — and it's the most common failure mode.
What we actually do
We start from decisions, not available data
Which decisions do you make weekly, and what's missing to make them sooner? The metrics follow from that list, never the other way round.
One screen, not a report
What doesn't fit on one screen doesn't get looked at daily. The rest exists and stays available, but it doesn't compete for attention with what matters.
Every number carries its calculation
A metric nobody can explain stops being believed at the first surprise. The calculation is visible, and it can be challenged — that's how it becomes trusted.
When this isn't for you
This isn't for you if your underlying data isn't yet captured reliably: a dashboard fed by partial entry displays wrong numbers with great confidence, which is worse than no numbers at all. The right order is to make capture reliable first.
No sales page writes this section. That's precisely why it's here: it saves you a thirty-minute call, and saves us an engagement we'd decline anyway.
Questions we get on this
Wouldn't Power BI do the job?
Often yes, and it's a good answer when the data is already clean and centralised. The real work is rarely the display: it's pulling data from four systems and agreeing on its definition. That part remains whatever visualisation tool you pick.
Neighbouring situations
Fifteen minutes to find out whether we can be useful.
You leave with what we saw, in writing, even if we never work together.