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Value-creating strategy consultation throughout the data continuum
We bring together economic theory, data science, technology and data management in order to redefine your strategy and your operational methods, with powerful results.
Doing what we do better, doing it differently, inventing new offers, reinventing our business model: that’s Veltys’ commitment.
Veltys’ expertise is based on strong links with research in economics, statistics, and machine learning: over 50% of the partners hold a doctorate. This culture is expressed in the constant desire to create without limit and to explore the most innovative solutions.
Veltys’ employees come from brilliant academic backgrounds. They appreciate the consultancy dimension and know how to develop a pleasant working environment.
Without economic reasoning, technique is not enough. Without technique, the created value is not enough.
We offer a holistic approach to data: from strategic recommendation to the technical deployment of data sectors. A clever balance between tailor-made support and control of the existing situation, the Veltys approach is effective at each stage in the data continuum.
Romain is an accomplished researcher, converted into a consultant and scientific expert. Today, he brings to his clients and Veltys’ teams his technical expertise and solid operational experience, acquired during his years spent at CREST and INSEE.
Unanimously recognised as our lead in Machine Learning, artificial intelligence, econometrics and more generally in modelling, his clients benefit from his many specialities. Fond of intellectual challenges, technical innovations and wordplay, he always has the right reference at the right time.
A graduate of Ecole Polytechnique and ENSAE, Romain obtained his doctorate in economics at EHESS with a specialisation in applied econometrics. With Romain, your greatest risk is to get stuck in a debate about bias sampling in machine learning algorithms!
Making the most complex subjects accessible
Addressing issues with a holistic view
Mobilising economic analysis to take advantage of market transformations
Deploying technology to support the business vision
Defining the most appropriate governance and organisation to support this transformation
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Understanding and managing data assets and their associated uses
Accompanying management in the progression of understanding
Transmitting the ability to grasp data issues
Clarifying the technological choices to build adequate infrastructures
Supporting companies in setting up effective data management
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