The problem isn't too little data. It's not having it when a decision needs it
Most companies don't lack data. They have too much of it, in too many places — and none of it available at the exact moment a decision needs to be made.
Ask a manager for the numbers they need to decide something, and you rarely hear "I don't know." You hear "let me just confirm one thing."
That "confirm" usually means opening three different systems, cross-checking a report against a separate spreadsheet, and asking someone whether the number they're looking at is still current. The information exists. It just doesn't exist in one place, at the same time, ready to be used.
It's not a shortage-of-data problem
It's tempting to treat this as a volume problem — "we need more reports," "we need more visibility." But most companies already produce more data than they can use. Sales in one system, operations in another, finance in a separate spreadsheet, support in yet another tool.
Each system, on its own, does its job well. The problem shows up the moment a decision needs to look at more than one of them at the same time — and there's no single place where that combined view already exists.
What usually gets tried
- Building a monthly report that stitches everything together manually, by hand, in Excel
- Asking someone on the team to "cross-reference the numbers" whenever a decision comes up
- Relying on experience and gut feel, because waiting for the report takes too long
The monthly report helps — until the decision can't wait a month. Asking someone to cross-reference numbers works — until that person is on vacation, or the decision is urgent at six on a Friday evening. And relying only on gut feel means deciding without exactly the piece of information that isn't visible.
What this reveals
The value of a piece of data isn't in its existing. It's in being available the moment someone needs it to decide. The right number, three days late, no longer prevents the mistake it existed to prevent.
This isn't about collecting more data. It's about deciding, ahead of time, which questions the business will ask repeatedly — and making sure the answer is already ready when the question comes.
This changes how you think about data: instead of accumulating reports that might be useful someday, the starting point becomes the three or four decisions the company makes over and over — and building, just for those, a view that's always ready. Everything else can stay scattered. What matters stays within reach.
Does an important decision always end up waiting on "let me confirm one thing"?
If you know the information exists but is never ready at the right moment, it's worth understanding where it gets lost before picking a tool.
