THE RETAIL EQUATION EXPANDS ANALYTICS GROUP WITH ADDITION OF ANOTHER PH.D. STATISTICIAN
Expansion of Group to Assist Retailers’ Need for Speed of Analysis in Challenging Marketplace
IRVINE, Calif. (Oct. 13, 2009) – The Retail Equation, the industry leader in retail transaction optimization solutions, has expanded its analytics team with the addition of Bisser V. Roussanov, Ph.D., who joins the company as a senior statistician.
“As demand for The Retail Equation’s transaction optimization services increases, Bisser will play an important role in the growth of our analytics group―ultimately supporting our thriving customer base, product portfolio and the continued development of predicative models to prevent return fraud,” said David Speights, Ph.D., chief statistician for The Retail Equation. “In today’s marketplace where retailers are expected to ‘do more with less,’ his expertise will allow us to better serve retailers that can benefit from our industry-leading capabilities.”.
Roussanov will also work closely with Speights and the specialized team at The Retail Equation to continue development of statistical models that maximize revenue and margins for retailers. In addition, his support will enhance the company’s ability to assist retailers’ increased need for speed of analysis, providing vital information for loss prevention decision-makers.
Prior to joining The Retail Equation, Roussanov was an analytic engineer focused on fraud detection with SAS, a business analytics software and services vendor. Before SAS, he worked with Washington Mutual Bank/J.P. Morgan Chase as a senior research analyst, manager of strategic analysis and statistician II. He also served as a senior statistician with HNC Software and worked at the University of California, Los Angeles, Department of Biostatistics. He earned his doctorate in statistics from the University of Minnesota.
About the Retail Equation
The Retail Equation, headquartered in Irvine, Calif., is the industry leader in retail transaction optimization solutions. The company’s applications use statistical modeling and analytics to predict consumer behavior, and its software-as-a-service delivery enables retailers to achieve a significant and measurable return-on-investment. Its solutions are operating in more than 12,000 stores in North America, supporting a diverse retail base of specialty, department, sporting goods, auto parts and more.