We hold many years of experience using open source softwares like using R, RStudio, Shiny...
Why do we choose to make our business with open source tools?
About Us
We hold many years of experience using open source software like R to make good analysis of our clients
- Customers segmentation with machine learning
- Tool for Earth tempreature analysis from any point in the world using data from 1750 to 2013
- Shiny dashboard for ships monitoring
- Quantitative analysis Expert on the U-Stasis project
With us you are sure to get what you want from your data. We are happy to work with you for your business, your research in climate data analysis agriculture, socio-economic data, meteorological data, telecommunication and any kind of big data.
Learn more on our GithubWe hold many years of experience using open source softwares like using R, RStudio, Shiny...
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01 Open source analytics tools are cost effective
Open-source tools are free to use and even their enterprise versions are reasonably priced compared to their proprietary counterparts. So, with a lower up-front costs, reasonable expenses for training, maintenance and support, and no cost for licensing, open-source analytics tools are much more affordable. More importantly, they’re better value for money
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02 Open source analytics tools provide flexibility
With open-source software, you get complete flexibility: from the way you use your tools, how you combine to build your stack, and even how you use your data. If your requirements change – which, let’s face it, they probably will – you can make the necessary changes without paying extra for customized solutions.
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03 Improved data security and privacy
Privacy has become a talking point in many data-related discussions of late. This is thanks, in part, to data protection laws such as the GDPR and CCPA coming into force. High-profile data leaks have also kept the issue high on the agenda. An open-source stack analytics running inside your cloud or on-prem environment gives complete control of your data. This lets you decide which data is to be used when, and how. It lets you dictate how third parties can access and use your data, if at all
Our Toolbox
These are the tools that we love to use to meet our clients needs.
R90%
RStudio 90%
Shiny 70%
Python 50%
HTML 50%
CSS 60%
JavaScript 50%
Photoshop 90%
Services
We are happy to work for you in Exploratory data analysis, dashboard developpement and Ai.
Exploratory data analysis
It is about to enerate questions about your data. Search for answers by visualising, transforming, and modelling your data. Use what you learn to refine your questions and/or generate new questions.
Shiny dashboard
Shiny is an R package that makes it easy to build interactive web apps straight from R. Dashboards are popular since they are good in helping businesses make insights out of the existing data
Ai
We use expertise in data science, machine learning and developing artificial intelligence solutions for our clients. We’ve decided to put these technologies to work in resolving the world’s most pressing challenges.
Hire us for your project
We are here to work for you, taking part of your analysis, training, research or where you find us usefull in your business carreer.
Portfolio
On our github repository you can find more. But here we just want to show one of our dashboards.
- App
