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
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