Data for CEOs: the no-jargon guide
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Read articleWays to monetise data directly and indirectly, from data products and APIs to better decisions, with the necessary legal caveats.

"Monetising data" evokes selling it, but that is only one way, and rarely the most profitable. Most of the economic value of data comes from using it better, not selling it.
Monetising data is turning it into economic value, whether directly (data products and services) or indirectly (better decisions, efficiency and new opportunities).
It means creating data products: enriched data APIs, reports or dashboards for customers, sector benchmarks or anonymised datasets. More ambitious and able to open new revenue lines, but it demands maturity, quality and a careful legal framework.
Any monetisation involving personal data must respect the GDPR: appropriate legal basis, minimisation and, where applicable, anonymisation. And you cannot monetise what you do not control: scattered, low-quality data is not reliably monetisable. Ordering and governing the data layer is the first step.
Most of the value of data comes from using it better, not from selling it.
Data monetises directly (products, APIs) and indirectly (better decisions, efficiency) — and the indirect route is the most accessible and highest-impact for most. Any route must respect the GDPR and rests on a quality, governed data layer: you cannot reliably monetise what you do not control.
Not only. Selling data or creating data products is the direct route, but most value comes from indirect monetisation: using data to decide better and be more efficient.
Only respecting the GDPR: appropriate legal basis, minimisation, information and, where applicable, anonymisation. Doing it without diligence is a legal and reputational risk.
A quality, governed data layer. You cannot reliably monetise what is scattered or unreliable.
Using data to make better decisions, cut costs, retain customers and reduce risk — value that does not require selling anything.
Enriched data APIs, reports or dashboards for customers, sector benchmarks and anonymised datasets sold as products.
Indirect: it is the most accessible and highest-impact, and it builds the quality and governance that direct monetisation later requires.
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