Customer Analytics: Leveraging Data Blending & Predictive Modeling for Member/Patient Satisfaction

In this class George Mathew will explain how to use data blending and predictive modeling to improve health care consumer satisfaction. Specifically, he will review how to manipulate behavioral data for consumer targeting, when and where to use predictive modeling and forecasting in large data sets, and how to manage sensitive health data and compliance issues.

George brings his extensive career history in successfully translating data analytics and modeling into business strategies to bear in this class.

The learning objectives for students taking this class are:
� Understand two keystone big data use cases in health care
� Illustrate where segmentation and targeting are most effectively used in consumer industries
� Learn where data blending and predictive analytics are integral to big data (and where they are not)

In this online course series from Health 2.0, four leading industry experts will teach how new applications of big data are transforming their corner of health care. This is an opportunity to gain practical insights on how to use data intelligently and think about it strategically in your particular area of disruption. Each class is 60 minutes followed by 30 minutes of Q&A. Each class is live, interactive, and personal, and takes advantage of Learn It Live's cutting edge virtual classroom platform. This course is for entrepreneurs, executives, data scientists, and clinical leaders. Sign up now!