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Improving Retail Decisions with Big Data and Predictive Analytics

Harnessing a large volume of customer and transactional data is a major challenge – but using that Big Data for customer-centric decision making can set you apart from the pack.

How can you as a retailer more effectively use customer insights to drive profitable merchandising processes?

Find out how you can use Big Data and analytics to gain predictive insights during our Webcast on October 29, 2013. We’ll cover how to:

  • Turn Big Data into big business opportunities with predictive analytics
  • Leverage Big Data to understand customer behaviors
  • Use predictive analytics to improve promotions, prices, product affinities, and forecasting

Customer insights gained from Big Data can help retailers connect one-to-one with consumers and build loyalty – register today to join us online and discover innovative uses for your data.

Our speakers include:

  • David Ginsberg, Head of Data Science, SAP
  • Nancy Casey, VP of Retail Customer-Centric Merchandising Solutions, SAP
  • Joern Keller, VP of Retail Development, SAP

Tuesday, October 29, 2013

2:00 p.m. EDT / 11:00 a.m. PDT


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