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Home Depot, Kellogg Company, Estee Lauder and Mars Wrigley Among Stellar Lineup of Thought Leaders to Deliver Retail Data Insights at EnsembleIQ’s Analytics Unite

Brings Together Retail Executives and Consumer Goods Executives May 3-5 in Chicagoa

EnsembleIQ’s Analytics Unite, the Summit for Retail and Consumer Brands, unveils the 2023 conference program. The event offers retail and consumer goods technology executives three days of unparalleled learning, real-world case studies, new solutions and networking with analytic experts from industry-leading companies such as Home Depot, Kellogg Company, Estee Lauder and Mars Wrigley. The event, which takes place May 3-5 in Chicago, is presented by Consumer Goods Technology and RIS News.

“There’s no shortage of data in the retail and consumer goods industries. What today’s retailers and consumer goods companies need are the strategies and talent to bring their data to life through analytics-enabled products, experiences, and services,” said Albert Guffanti, EnsembleIQ, Vice President and Group Publisher, Consumer Goods Technology and RIS News. “As we celebrate Analytics Unite’s ten-year anniversary, we are pleased to be marking a decade of helping companies leverage data and AI powered business processes. Our event will showcase the ways retailers and consumer goods companies are productizing data to successfully develop items and services for consumers.”

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Event speakers include:

  • Mustafa Nisar, Director, Data Science and Analytics Strategy, Home Depot
  • Rob Birse, VP, Global Advanced Analytics & AI/ML Technology, Kellogg Company
  • Deepak Jose, Global Head and Senior Director of ODDA Analytics Solutions, Mars Wrigley
  • Elena Alikhachkina, previously Global VP, Danone
  • Mark Edmonson, Chief Marketing Officer, Materne North America
  • Pradipta Saha, Executive Director, Digital Supply Chain, Estee Lauder
  • Tarun Kataria, VP, Demand Analytics, Mars
  • Roxanne O’Hara, VP Insights and Analytics, Melissa & Doug
  • Matt Weber, Director of Business Insights and Analytics, Kum & Go

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