Events

#BigDataMgmt chat: Retailing in the era of analytics

#BigDataMgmt Twitter Chat | January 15, 2014 - 12:00pm

“In days gone by, a shopper’s experience began by crossing the threshold of a store and ended with the sliding slam of the till. But today’s consumer begins shopping well before setting foot in a store, if ever. And with smart phones, tablets and social media, the retail experience continues long after the transaction is complete.

Tomorrow’s retailers need to provide their customers with new ways to interact and shop, while at the same time meeting the perennial challenges of the business: winning consumers while driving down costs.”

In our next #BigDataMgmt Twitter chat, guests Doug Stephens, founder and president of Retail Prophet; Naomi Gross, professor at Fashion Institute Technology and Dr. Michael Haydock, VP, partner and customer intelligence practice leader at IBM join us as we discuss “Retailing in the era of analytics.” James Kobielus, IBM’s big data evangelist, and Tom Deutsch, program director for big data, will also join the conversation. You can follow along,and join the discussion, using the hashtag #BigDataMgmt.

Here are the questions we’ll be discussing as well as reference articles to help inspire the January 15th discussion at 12:00 p.m. EST.

#BigDataMgmt discussion questions

  1. How have technology and customer demands changed retailing?
  2. How do retailers merge the immediacy of physical shopping with the intelligence of online shopping?
  3. How can retailers exploit analytics to improve engagement and deliver a superior customer experience?
  4. How can retailers ensure they understand their customers at every step of the purchase cycle?
  5. What steps are needed to utilize big data and analytics to improve personalization?
  6. How can retailers leverage social data with POS data, loyalty data and syndicated data to make business decisions?
  7. What are main reasons prompting retailers to implement big data and analytics today? 
  8. How can retailers become ready for the 2020 shopper?

#BigDataMgmt reference articles