How to Predict & Prevent Customer Churn with Machine Learning

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Presented by

Vincent De Stoecklin

About this talk

Given that it costs 5-10 times more to acquire a new customer than to retain an existing one, it seems obvious that all businesses should engage in some level of churn prevention. Because of its business impact and its relative ease in execution, for many types of business, churn prediction is a great first project to tackle with machine learning and AI. In this webinar, Vincent De Stoecklin, Customer Success Director at Dataiku, will: > Explain how data science and machine learning can help leverage churn prevention > Deep-dive into a churn prediction project (from design to production) > and demo a churn analysis on Dataiku DSS.

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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.