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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics.

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Make or Buy?

Darkhorse

The systems were set up to pay claims and report to customers. Analytics was never considered. Developing analytics to reduce fraud would be a huge competitive advantage if it were successful. Fraud analytics is one of the most valuable applications of machine learning.