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From Cloud-First to Data-First
For a long time, a cloud-first strategy seemed the logical choice. Modern, scalable, and efficient. But many organizations get stuck. Not because the cloud works poorly, but because the wrong question was central. It’s not about cloud or no cloud, but about what data you store where and why. Organizations that want to regain their digital control are therefore shifting to a data-first approach. The value, sensitivity, and function of data determine the route, not the technology.
Cloud-first began as a promise of simplicity and innovation, but reality is more complex. Costs increase, especially with long-term storage or data retrieval. Legislation and compliance clash with foreign data centers, and pseudo-sovereignty is becoming an increasingly larger problem. Ransomware also affects cloud environments. And control over your infrastructure becomes remote.
The Cloud Remains Valuable, but not for all Data.
A data-first approach starts with the right questions. How sensitive is this data? Who has access, and under what legislation does it fall? How quickly must you be able to retrieve it? What does it mean if you lose it? Only when this is clear can you determine where data belongs. The cloud then becomes an option, not the starting point.
Data classification forms the foundation of working data-first. It maps out which data is critical for operations, which needs to be stored long-term, which contains sensitive information, and which has strategic value. Based on this, you choose the right storage model. Critical or sensitive data belongs on premise. Collaboration data and less critical information can perfectly well be in the cloud. A hybrid model serves everything in between.
This way of working shifts organizations from dependent to autonomous. You know where your data is and who can access it. You comply more easily with laws and regulations. You are less vulnerable to incidents. And you can recover faster from ransomware, preventing loss. Especially in sectors such as government, healthcare, and industry, where reliability and continuity are essential, this offers a future-proof foundation.
A data-first strategy seamlessly aligns with goals such as Zero Loss and digital sovereignty. Zero Loss is about data that is always recoverable, without dependencies or delays. Digital sovereignty is about maintaining control over your digital infrastructure. Both goals are only achievable if you know exactly what your data is worth and where it belongs.
The core is clear. The cloud is a means, not a mindset. Cloud-first sounds attractive, but lacks nuance. Data-first provides control, oversight, and strategic insight. Organizations that choose this path gain autonomy, agility, and trust among executives, customers, and society.
Curious about how we can help your organization realize a future-proof infrastructure where the data-first principle is central? Then contact one of our colleagues.
