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Given the data

Besides my involvement in Aviliz, I’m currently also in the final stages of a PhD project at the Eindhoven University of Technology. This means it’s time to start writing my thesis dissertation. In the Netherlands, a part of a dissertation are the so-called propositions, or “stellingen” in Dutch. These 10 sentences or so are supposed to contain insights gained throughout the research, and are typically related to -but don’t necessarily have to be limited to- the dissertation thesis.

If from my experience I've learned one thing, it is that data can be tremendously valuable.

Over the last few years, I’ve had the privilege to collaborate with both big corporates and small companies, hospitals, and students and colleague researchers all around the world. If through this invaluable experience I’ve learned one thing, it is that data can be tremendously valuable. It can be used in a plethora of ways using the latest and greatest techniques in machine learning, artificial intelligence, process mining, or whichever data-science term you prefer or is hot at the moment. From this data, actionable insights can be gained to improve processes, products and services, and life in general.

But I digress. The point I want to raise is the following: given enough data, anything is possible. This seems to be what everyone in the research community and in industry thinks, eats, sleeps, and breathes. But there’s one catch-22: the data is never just ‘given’! Often, data acquisition is a local, one time effort performed by some poor database technician, graduation student or intern and, consequently, results are more often than not irreproducible. Hence my first proposition: Given the data, anything is possible. However, the data is never given.

In Aviliz we share the belief that given all the currently available data science knowledge and techniques, the staffing and training business will change for the better.

In Aviliz we share the belief that the staffing and training business will benefit from all the currently available data science knowledge and techniques. Combining this with my personal ambition to integrate a well-grounded scientific approach into our company’s data strategy means that data can be at the base of our decision making, and will lead us to be better informed about market trends. In the future, I will share my experiences regarding this data strategy and its implications for Aviliz as a company.

Bart Hompes
Technology, R&D

Bart is a co-founder of Aviliz and PhD candidate in the group of Europe's most highly-cited computer scientist. In the little time that is left, Bart spends his time riding his motorcycle or is busy exploring the planet.

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