Welfare Benefits

Quantify and map social benefits that have not been used to optimize your remediation plans.

With which tools?

With socio-economic data collection and analysis

Thanks to a precise and complete cartography, determine which geographical areas (departments, municipalities...) are the most prone to non-take-up of social benefits.
With a dynamic display of results

Thanks to the calculation power of our AI algorithm, highlight the most exposed territories, their exposure levels and easily establish comparisons at different scales.
With optimization of the actions to be taken

Thanks to the analysis and detailed mapping of the collected data, prioritize your actions and adapt your activity in a targeted manner.

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Our publications

- Financial Services & Compliance

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?

2023

- Financial Services & Compliance

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.

2023

- Marketing & Sales

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.

2023

See our publications