Predicting customer churn in real time

Amid growing competitive pressure and ever more stringent federal mandates, retaining profitable customers is of primary importance for insurance providers. However, in a world of big data, solutions to the retention problem can be elusive even for those using the powerful predictive capabilities offered by advanced analytics.

Sign up for this on-demand webcast to learn how you can use the integrated R, machine learning and text analytics capabilities of IBM BigInsights for Apache Hadoop and IBM InfoSphere Streams to create a predictive modeling solution for real-time customer churn intervention.