Deploying a Churn Predictor with Snowflake

Deploying a Churn Predictor with Snowflake

This workflows connects to a Snowflake database, retrieves the latest customer data, and applies a pre-trained churn prediction model to estimate the likelihood of each customer leaving. The results are then prepared and visualized to provide clear insights into customer churn risk.

External resources

• Snowflake Extension Guide | KNIME Documentation