Data for CEOs: the no-jargon guide
Everything a CEO needs to know about data to make better decisions, without the technical complexity: what to ask for, what to measure and how to get results.
Read articleTen criteria to choose a Data as a Service provider: EU compute, GDPR, pricing model, expert team, integrations, support and business outcome.

Choosing a Data as a Service provider is a strategic decision: it shapes cost, compliance and speed for years. These ten criteria help you compare with a business mindset, not just a technical one.
If you could ask only one question: "How soon will my first use case be working, where will the data be processed, and what exactly will I pay for it?" The clarity of the answer tells you more about the provider than any sales deck.
Do not choose the provider with the most features. Choose the one that delivers the result — in Europe and on time.
Choose a DaaS provider on EU compute, GDPR, encryption, pricing model, included team, integrations, time to result, governance, support and scalability. Watch for red flags around data location, fixed capacity, post-project maintenance and portability — and judge by the clarity of their answers.
That compute is European and GDPR-compliant, that an expert team is included, and that it delivers business results in weeks with transparent pricing.
Make sure you keep ownership and portability of your data and results, and check what happens if you end the service.
What is decisive is where data is processed and whether it is GDPR-compliant. A provider with European compute and an expert team is usually the best combination.
Vagueness about data location, pricing tied to fixed capacity, no post-project maintenance, and inability to take your data and results elsewhere.
How soon the first use case will work, where data is processed, and exactly what you will pay. Clear answers signal a serious provider.
It is the difference between getting a tool you must operate and getting the result delivered, maintained and optimised for you.
Tell us what you want to achieve. Data Layer connects, processes and delivers the result up and running, with no infrastructure for you to manage.