The hidden cost of deciding without reliable data

Every company has a moment like this: someone asks "how much did we sell last month in the northern region?" and instead of an answer, a search begins. Three spreadsheets get opened. Someone calls finance. The result is compared against what the ERP says. Half an hour later there's a figure. Nobody is entirely sure it's the right one.

That never appears in a P&L. But it gets paid all the same.

You pay it in time: hours of qualified people — directors, department heads — rebuilding reports that should take seconds, not days. You pay it in decisions made late, because by the time the number arrives the moment has passed. And above all you pay it in decisions made with the wrong figure, without anyone noticing until months later.

Think about the last time you adjusted a price, decided on stock levels or approved a hire based on "what seems to be happening". You were probably right. But "probably" is an expensive word when there's real money behind it.

Why this happens in companies that are doing well

It isn't a problem of small or disorganised companies. It's almost the opposite: the more a company grows, the more data sources it accumulates — an ERP here, a CRM there, half a dozen spreadsheets that started as something temporary and have been in production for three years. Nobody designed it that way. It just happened, report by report, while the business grew faster than the way of measuring it.

The result: every department has its own truth. Sales says one figure, finance another, and meetings turn into debates about which number is right instead of what to do about it.

What it really costs

You don't need a complicated calculation. Add up the hours an operations or finance lead spends each month building reports by hand. Multiply by what their time is worth. Add the decisions that were delayed waiting for that report. And add, however hard it is to quantify, the ones taken with a figure that turned out to be wrong.

The number usually comes as a surprise. Not because it's enormous in any given month, but because it repeats every month, quietly, like a leak nobody has gone to look at.

This gets fixed sooner than you think

Fixing it doesn't mean building a data department or hiring anyone. It means automating what you do by hand today and having one source of truth everyone consults. How long it takes depends on the state of your data: some reports are solved in a couple of weeks and others take considerably more work. But the first step is always the same, and it's short.

If you want to know what it's costing you specifically, that's exactly what we look at in the first meeting: with your own numbers, where your time and money are going.