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Build a repository of practices in your sector


Gain access to objective data on company transformations


Complete your analysis with the integration of collective agreements 


Use  our solution’s search engine to explore the positions of different companies on specific topics (mobility, remote work, flex-office, etc.)

With which tools?

  • With enriched databases

    Thanks to reliable sources (government websites such as Legifrance and SIRENE), get the most accurate information possible.

  • With in-depth data analysis

    Thanks to the NLP technologies integrated in our solution, you can highlight useful information (number of authorized remote work days, average allowances, etc.) that will help you answer various questions related to flexible mobility in companies.

  • With a clear restitution of search results

    Thanks to a dashboard prioritizing and grouping the results, you can easily visualize the sectors concerned, the different measures and the observed evolutions.

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Our publications


Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?


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Introduction to OpenStreetMap: How to leverage…

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.


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Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.


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