Your data isn't an asset until it passes four tests

A facilities management business we've spoken with holds eleven years of job records: which sites break down, how often, what the fix cost, how long it took. Ask the owner if that's valuable and the answer comes back fast: of course it is, nobody else has eleven years of this. Ask whether a new entrant could build something equivalent in eighteen months just by doing the work, and the answer gets slower.

That gap is worth closing before you build a strategy, a valuation or a pitch on the assumption that your data is a moat. The test for that is old, not new: VRIO. Some versions of it stop at three letters: Valuable, Rare, Inimitable. The fourth is the one that actually decides whether any of it matters: Organised, meaning whether the business is set up to use what it holds. Drop it, and you've dropped the half of the test that explains most failures. Four questions, applied to your own data rather than someone else's.

The four questions

Valuable. Does this data let you do something a customer will pay for, or cut a cost that matters? Most businesses pass this one easily; almost any operational data is valuable to somebody, even if only to you.

Rare. Does anyone else have data like this? Not "nobody has exactly this," which is trivially true of every dataset, but does a competitor, a new entrant or a big platform have something functionally equivalent. Eleven years of job records is rare if your market is genuinely slow-moving and fragmented; it's not rare if the same records sit in every competitor's job-management software, unused, the same as yours.

Inimitable. If it is rare today, how long does it stay that way? Could a well-funded competitor buy, scrape or build an equivalent dataset within a year? Data that took you a decade to accumulate through ordinary trading isn't inimitable if the only reason nobody has matched it is that nobody has bothered. That's a head start, not a moat.

Organised. This is the question most audits skip, and it's where most data businesses actually fail. You can hold data that is genuinely valuable, rare and hard to copy, and still get nothing from it: it sits in a system nobody queries, read by nobody with the authority to act on it.

Where this usually breaks

In practice, most businesses that think they hold a data asset fail on Rare or Organised, not Valuable. The data is useful; that's rarely in question. What's in question is whether anyone else could get equivalent data without much effort, often yes, because it sits in the same off-the-shelf systems everyone in the sector runs, and whether the business has actually built the reporting, the ownership and the routine to act on what it holds, often no, because the data was collected as a side effect of running the business, not on purpose.

That second failure is the more common one, and the more fixable. Whether a rival can copy your data is largely out of your hands. Whether your own business is organised around it isn't.

The takeaway

Before you describe anything you hold as a data asset, to an investor, to a buyer, to yourself, run it through all four questions, not just the first. Fail Rare or Inimitable and it's still useful, just not defensible; price and plan accordingly. Fail Organised and the fix sits inside your own business, and it doesn't need a single new data point: better ownership, better tooling, someone whose job it actually is to look at it.

Not sure which of the four your own data would fail? Get in touch and find out before someone else asks you the same question.

Your data isn't an asset until it passes four tests