Data Science Services and Infrastructure
b‑data GmbH is a company specialising in Data Science Services and
Take advantage of our more than 15 years of experience to make your Data Science project a success!
Take a look at Olivier’s skills and professional experience on benz0li.b-data.io.
Below are the success stories of selected projects. More testimonials.
Stricter security policies have increasingly limited the local execution of R
and RStudio at Agroscope. As part of an architecture redesign, IT Agroscope has
decided to centralise these applications.
With RStudio Server and GitLab, b-data GmbH introduced software that is fully integrated into the architecture. The combination of these applications will enable researchers to introduce a unified handling of data analyses and create reproducible results in the future.
Olivier understood the complex needs of the researchers and was able to fully consider them in the integration and operational concept. Of course, the migration brought about changes, but overall this resulted in new opportunities for scientific data analysis.
– Manuel K. Schneider, Research Group Forage Production and Grassland
Years of collecting customer data can result in a valuable asset for companies.
But what to do if the data is not stored in a suitable format for future
projects, or if duplicate data affects quality?
This is precisely the question that zkipster, a start-up in event management software, posed to b‑data. In response Olivier Benz, Managing Director of b‑data, analysed, structured and cleaned up the data.
We have very quickly gained knowledge important to our company: very specific knowledge that did not exist within zkipster, to which we had no access and for which we could not afford a full-time employee. Olivier was available at the right time, he supported us in a very professional manner and achieved great things in a short period.
– David Becker, CEO and Co-Founder
We are interested in your specific use case, wherefore we offer a lean and
For a general introduction to Data Science, we recommend DataCamp.
Reproducible Data Science with Git
Apply a successful Git branching model
We help building your own Data Science stack!
docker run -it --rm -p 8888:8888 -v $PWD:/home/jovyan glcr.b-data.ch/jupyterlab/r/verse
Run the initial command in an empty directory so that the container populates
http://127.0.0.1:8888/lab?token=<token> in a browser to load
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