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Videos
Bienvenue sur notre page de vidéos. Vous trouverez ici des vidéos inspirantes sur l’analyse des RH, notamment des enregistrements des présentations que nous avons données lors d’événements passés, des entretiens que nous avons eus avec des personnes intéressantes, ainsi que des informations sur nos produits et services. Abonnez-vous à notre chaîne YouTube pour recevoir des mises à jour régulières.
Vidéos les plus récents
What is JiGSO Listen?
Short explainer video introducing JiGSO Listen and how this smart platform can help your teams thrive and your organisation triumph.
JiGSO Listen pitch
JiGSO Listen is an innovative employee listening tool that gives teams the insights and tools to build a culture of psychological safety and team cohesion
JiGSO Listen pitch (NL)
Dutch version of our JiGSO Listen where Jolien shares 2 facts, 1 frustration, and 1 fix when it comes to the functioning of teams.
What HR can learn from other disciplines
HR is currently experiencing a tech boom, but we can still learn a lot from other disciplines such as politics, marketing and even fusion.
HR Analytics videos: Employee Turnover
Employee churn or turnover – the rate at which employees leave a workforce and are replaced – can be a severe problem for many organisations. Even if the time and cost of investment (recruitment, hiring, training) are considered relatively low for a given workforce, it will always be non-zero. Additionally, we are all too aware of the impact on team morale and company image.
In these video series, Data Scientist Thomas Stainer explains how Survival Analysis can help you understand employee churn.
Part 1: Introduction
Introducing the concept of Survival Analysis and how it can help you understand churn.
Part 2: Censoring
Censoring is an important feature in Survival Analysis that helps you take into account missing data.
HR Analytics videos: Model Explainability
Although the fundamental concepts of Machine Learning have been around for quite a while, most people are only now beginning to become acquainted with the technology. Therefore, blindly trusting the prediction that came out of a black box model might still sound quite daunting to most.
In this video series, Data Scientist Wout Goossens opens up the black box by introducing the concept of Model Explainability.
Part 1: Introduction
What is Model Explainability and how can it give you more insight into Machine Learning predictions?