How to predict and reduce customer churn

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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.

4/22/2021 11:00 AM

(UTC -4) Santiago de Chile

DICTATED BY

Leo Camilo

Data Solutions Architect

Where is it?

Wherever you are!
Connect from your notebook, tablet or mobile phone.
You will receive instructions when you reserve your seat.

Why should I attend?

Practical 1-hour session, with tips and step-by-step to create efficient, low-cost and highly automated analytics projects.  

After this session, you will be able to:

➡️ 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

Directed at:

  • Marketing and Sales Leaders, Product Owners
  • Data and Analytics leaders on both the business and technology sides
  • BI teams (middle management and individual contributors), Data Engineers, Project Managers and Software Developers
  • CIO's, IT Managers, Infrastructure & Platforms

Webinar Content

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

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IMPORTANT

Space for this session is limited.
This type of training fills up quickly due to the quality of the content delivered at no cost.