Presented by
Greg Cashman, Senior Sales Engineer, Dataiku
Prevent Churn with Predictive Analytics
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 talk, Greg Cashman will demonstrate how Dataiku’s Data Science Studio can be leveraged to quickly and easily design, train and deploy accurate churn prediction models. The insights delivered from these models will not only empower your organization to proactively intervene and retain valued customers but will also provide valuable insight into the key drivers of churn.
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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.