Acquiring and losing a customer is up to 5x more expensive than keeping them. In just 1 hour, you'll see how to use the data you already have and apply machine learning to create a customer churn prevention model.
Watch ReplayLog in from your notebook, tablet or mobile phone and you will receive instructions when you book your place.
Practical 1-hour session, with tips and step-by-step to create efficient, low-cost and highly automated analytics projects.
➡️ Understand how to obtain the necessary data and automate flows.
➡️ Accelerate Data projects and democratize access across the enterprise
➡️ Choose models to create business value, enrich, and segment customers.
➡️ Make data available: Visualization for decision making
Step 1: The problem of taking data from different sources to be used to make decisions
Step 2: Rapid design and deployment of data pipelines to organize data in the data lake
Step 3: Exploratory analysis of a real dataset (customers of a telco)
Step 4: Evaluation of predictive churn models and which one is the best.
Step 5: Deploy the best automated predictive customer churn model in cloud environment
Step 6: Visualizing the Predictive Segmentation Model
Space for this session is limited.
This type of training fills up quickly due to the quality of the content delivered at no cost.
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