Smart retailers are using advanced revenue attribution and customer-level response modeling to optimize their marketing spends. This new technique pioneered by Upstream Software employs survival analysis on retail data, with a strong emphasis on time to event modeling. By attending this session you will gain insight into the changing world of retail analytics.
As part of the session, Upstream will cover the types of data utilized and how Revolution R and Hadoop were deployed to solve the problem. Insight into scoring systems that leverage this attribution work, which help turn a historic reporting tool into a forward looking planning tool will also be covered, which will help underscore the value of a commercial grade scoring system while maintaining control of your models.
This session will cover:
Retail analytics with R — how to optimize retail spend using Big Data
Survival analysis for marketing using R
Commercial grade scoring systems for R models
Revolution R/Hadoop integration