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Data as an asset: how to measure the value of your company's data
Economia

Data as an asset: how to measure the value of your company's data

Equipa bConcepts 14/04/2026 2 min

We have talked about "data is the new oil" for years, but few companies treat data as what they say it is: an asset. Machines, buildings and brands have value on the balance sheet; data, which often is worth more, rarely appears. Seeing data as an asset changes how you make decisions about it.

What "data as an asset" means

An asset is something that generates value over time. Data fits: used well, it generates revenue, cuts costs and creates competitive advantage. Treating it as an asset means investing in its quality, protecting it and measuring the return it gives — as we would with any valuable good.

Data as an asset: how to measure the value of your company's data

Why it is hard to measure

Unlike a machine, data has no obvious purchase price, can be copied without being used up, and its value depends on use. The same data is worth a fortune to whoever exploits it and nothing to whoever leaves it idle. It is a strange asset — but no less real for it.

Approaches to estimate value

  • By cost: how much did it cost to collect and maintain this data? A floor, not the real value.
  • By market: how much would someone pay for it? Useful when there is a comparable market.
  • By value in use: what revenue or savings do they generate in the decisions they support? The richest approach.

The other side: data is also a liability

Poorly managed data is a risk: leaks, compliance fines, wrong decisions from false data. The same asset that creates value can generate loss if neglected. That is why data management is as much about protecting as exploiting.

Practical consequences

Seeing data as an asset justifies investing in its quality and governance (you are appreciating a good), leads to thinking about the return of each data initiative, and helps communicate to leadership in language it understands: value, risk and return. It stops being "an IT project" and becomes managing a strategic asset.

In practice

Pick an important dataset and ask: what value does it generate today, and how much more would it generate if better managed? That conversation changes priorities. Does your company manage data as a valuable asset, or as a byproduct that just piles up?

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