Event Analytics in Hadoop: Analyzing Cross-Channel Customer Behavior
Date: This event took place live on November 04 2015
Presented by: Bill Kornfeld
Duration: Approximately 60 minutes.
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Want to improve your marketing, sales and service outcomes? You'll need the right infrastructure, data management techniques, and applications to extract meaningful signals from cross channel interaction data.
Today there are adequate tools for analyzing customer behavior within individual channels. However, analyzing customer behavior across multiple channels usually requires custom engineering work within a big data environment and a standardized approach to holistically understand cross-channel customer activity.
Join Dr. Bill Kornfeld, director of R&D for Think Big, a Teradata company, to explore how to:
If you are seeking a flexible framework to capture and analyze event data from multiple channels with a goal of becoming a more customer focused organization, then don't miss this O'Reilly webinar.
About Bill Kornfeld, Director of R&D for Think Big
Bill Kornfeld has more than three decades of experience designing, architecting, developing and managing the development of high-performance server architectures. He has worked with Hadoop since 2008, and is currently Director of R&D at Think Big, a Teradata Company. In recent years Bill has worked on a wide-range of applications in the event analytics space spanning both engineering and data science.