Scénarios Métiers

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285 Scénarios trouvés
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neuralNet annCode

Standard Churn Model Scoring Code Generation

Contexte :
A telecom company has trained a neural network to predict customer churn. They need to generate SAS DATA step code to deploy this model in their production scoring environment to score new customer...
neuralNet annCode

High-Dimensionality Reduction using Autoencoder and `listNode` Parameter

Contexte :
A manufacturing plant uses high-resolution images of its products for quality control. To speed up analysis, they use a neural network autoencoder to reduce the dimensionality of the image data (e....
dataSciencePilot analyzeMissingPatterns

Standard Case: Customer Churn Prediction - Impact of Missing Demographic Data

Contexte :
A telecom company wants to understand why customers are churning. They suspect that missing information in their CRM (like income or age) is not random and might be correlated with churn. This anal...
dataSciencePilot analyzeMissingPatterns

Performance Case: Analyzing Missing Sensor Readings in High-Volume IoT Data

Contexte :
A manufacturing plant uses thousands of IoT sensors to monitor equipment. Some sensors intermittently fail to report data. The goal is to analyze these missing data patterns at scale to identify po...
dataSciencePilot analyzeMissingPatterns

Edge Case: Handling Dropouts and Sparse Data in Clinical Trial Analysis

Contexte :
In a clinical trial, patients may drop out, leading to missing data for all subsequent visits. One specific biomarker is experimental and fails to record for most patients. This scenario tests how ...