Social Data Featured at Predictive Analytics World
How do enterprises transform customer interactions into business value?
What are the most powerful methods to leverage social data with predictive analytics?
PAW San Francisco, March 14-15, provides in-depth sessions, case studies and expertise that offer the latest insight into social data analytics, including 7 sessions on this hot topic:
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The State of the Social Data Revolution Andreas S. Weigend, Ph.D., weigend.com, Former Chief Scientist, Amazon.com |
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Case Study: Bank of America – How do Peers Evaluate Peer-to-Peer Lending? Aaron Lai, Former VP and Senior Quantitative Research Associate, Bank of America |
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The Hefty Toll of Fraud: How to Leverage Predictive Analytics and Social Network Analysis John C. Brocklebank, Ph.D., VP, SAS |
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Advanced Methods Session – Social (Media) Network Analysis with NodeXL Marc Smith, Ph.D., Chief Social Scientist, Connected Action |
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Case Study: ICICI Bank (India) – Leveraging Customer Network Neha Swetambari, Manager, Business Intelligence Unit, ICICI Bank |
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Case Study: Major North American Telecom – Social Networking Data for Churn Analysis David Katz, Senior Analyst, Dataspora, and President, David Katz Consulting |
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Tim Lopez, Vice President, Engineering, Gaia Interactive |
Predictive Analytics World features over 40 sessions across 2 tracks covering hot topics and advanced methods such as uplift modeling (net lift),ensemble models, social data (7 sessions), search marketing,crowdsourcing, blackbox trading, fraud detection, risk management, survey analysis, and other innovative applications that benefit organizations in new and creative ways.
Download the PAW Conference Preview Guide or view the Predictive Analytics World Agenda
Register now for $200 off the full price.
Realize an additional savings of $200 on the two-day conference pass when you register a colleague at the same time.
