Scénarios Métiers

Contexte :
A telecom provider analyzes customer churn. They suspect the baseline churn rate differs significantly between geographical regions (North, South, East, West), violating the proportional hazards as...

Contexte :
An insurance company has trained a Poisson regression model to predict the frequency of claims based on driver age and car segment. The Risk Auditing department needs to review the model's covarian...

Contexte :
A large retail chain uses a Negative Binomial model to predict daily footfall traffic across thousands of stores based on marketing promotions. The Data Science team needs to verify that the stored...

Contexte :
A manufacturing plant automates the analysis of machine failure rates. The engineering team wants to archive the 'Model Definition' and 'Fit Summary' of their failure prediction model into CAS tabl...

Contexte :
An auto insurance provider wants to estimate the expected number of claims per policyholder based on driver age, vehicle type, and region. This helps in adjusting premium rates for different risk p...