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Adjust your retention strategy and consolidate your workforce over the long term

 

Identify the reasons for employee resignations

 

Detect at-risk profiles 

 

Improve the employee experience

With which tools?

  • Leverage data from your various HR tools

    With the information collected through your HR tools, identify and understand the factors leading to employee resignation.

  • With a detection of the profiles at risk of resigning

    Thanks to the AI integrated into our bot, predict and identify the most at-risk profiles likely to resign among your employees.

  • With decision support

    Thanks to predictive algorithms, you have the links between factors which explain employee resignations. Explore different areas of improvement and quantify the expected effects.

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Our publications

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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

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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.

2023

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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.

2023

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