The Retail Equation Expands Analytics Group With Addition Of Ph.D. Statistician
Expansion Supports Retailers' Growing Demand for Company's Predictive Analytics Services
The Retail Equation, the industry leader in retail transaction optimization solutions, has expanded its analytics team with the addition of Christopher Hanks, Ph.D., who joins the company as a senior statistician.
"As retailers continue to realize significant value from The Retail Equation's transaction optimization services, Christopher Hanks will play an important role in expanding our analytics group to support our growing customer base," said David Speights, Ph.D., chief statistician for The Retail Equation. "His expertise will also allow us to enhance our product portfolio and continued development of predictive consumer behavior models—elevating our ability to serve retailers that can benefit from our industry-leading capabilities."
Hanks will work closely with Speights and the specialized team at The Retail Equation to improve the statistical models that maximize revenue and margins for retailers. In addition, his support will enhance the company's ability to assist retailers' need for increased speed of analysis, providing vital information for operations, loss prevention and marketing decision-makers.
Prior to joining The Retail Equation, Hanks was a statistical consultant for the University of California, Irvine, where he specialized in survey research and marketing data. He also served as director of Research and Information Systems at Amen Clinics in Newport Beach, Calif., where he managed and mined a vast psychiatric brain image database. He also worked as a senior statistician for the Center for Statistical Consulting at the University of California, Irvine. He earned his doctorate in political psychology and master's degree in social science from the University of California, Irvine, and his bachelor's degree in political science from California State University, Northridge.
About the Retail Equation
The Retail Equation, headquartered in Irvine, Calif., optimizes retailers' revenue and margin by shaping behavior in every customer transaction. The company's solutions use predictive analytics to turn each individual shopper visit into a more profitable experience. This yields immediate financial payback, increasing store comps by as much as 2 percent, with significant return on investment. The Software-as-a-Service applications operate in more than 15,000 stores in North America, supporting a diverse retail base of specialty apparel, footwear, hard goods, department, big box, auto parts and more. For more information, visit www.theretailequation.com.
SOURCE: The Retail Equation