Churn prediction
Communications Service Providers (CSPs) can reduce customer churn by using machine learning (ML) models to predict the probability of a customer leaving the company.
Cloudwick
Customer churn refers to the situation when a customer ends their relationship with a company, and it’s a costly problem. The pre-trained model is trained on the data of a telecom company, which is concerned about the number of customers leaving their landline business for cable competitors. This model can be used by an analyst to find out which customers have a higher probability of leaving the company. The user can productionize this model using Amorphic Data cloud analytics platform provided by Cloudwick.
The ML model can be easily applied to automate your data lake pipeline.
Cloudwick's pre-trained Churn Predication ML model includes:
- Global Data Catalog
- Metadata management
- Comprehensive data access and search
- Data protection and security in-rest and in-motion
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Telecom customers using AWS
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