Webinar: Learned behaviours in customer churn

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Cloudera is a modern platform that gives analytic access to users that need to understand their customers across multiple touch points and multiple enterprise systems. Cloudera not only unlocks the promise of true customer 360 but it also leverages advanced capabilities for data science and machine learning.

In this webinar we will take a look at how data scientists can leverage Cloudera to identify and predict a common customer loyalty usecase in telecommunications. We will explore the data, design our features, and then leverage Apache Spark to help us make some predictions on the accuracy of our finding. All within a secure and collaborative environments utilizing the Cloudera Data Science Workbench.

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Cloudera is a modern platform that gives analytic access to users that need to understand their customers across multiple touch points and multiple enterprise systems. Cloudera not only unlocks the promise of true customer 360 but it also leverages advanced capabilities for data science and machine learning.







Featured speakers

Wim Stoop

Senior Product Marketing - Cloudera

Wim Stoop is the senior product marketing manager for Cloudera. In this role, he leads the marketing direction and strategic vision for Cloudera?s mission to let organisations turn data into business value at scale. Prior to Cloudera, Wim spent more than 17 years helping blue-chip companies such as IBM, BP, and HSBC solve their most data-intensive challenges in the context of their business objectives and usage scenarios. Wim is a regular speaker at industry events where organisations are deciding and defining their big data strategy and direction. Wim holds a degree in Chemical Process Technology from the Eindhoven University of Technology in The Netherlands.

Mark Samson

Principal systems engineer

Mark Samson is a Senior Systems Engineer at Cloudera, helping customers solve their big data problems using enterprise data hubs based on Hadoop. Mark has 18 years’ experience working with big data and information management software in technical sales, service delivery, and support roles.