![]() |
||||||||||||||||||||||||||||
|
SAS Global ForumOnline Press KitMarch 22 – 25, 2009 SAS Global Forum 2009 Web site News Announcements | News Announcements
Customer Panel"Tough Times, Smart Choices: How Organizations Are Dealing With the Downturn"
Consumers are wrestling with rising energy and food prices, mortgage woes and general economic uncertainty. How are business and government organizations surviving, especially if their revenue depends on discretionary spending? Organizations in entertainment and travel, as well as government, financial services and other industries are facing a downturn in income. To lessen the economic blow, savvy ones are turning to sophisticated business analytics software to stimulate spending by customers, run their operations more efficiently, and plan more effectively. About the PanelistsAaron Cano Aaron Cano is the Vice President of Enterprise Customer Knowledge for 1-800-Flowers.com. His group provides knowledge about customers to solve business problems and to develop strategies to increase business performance. As an enterprise shared serve he provides analytic and information management guidance to support all 1-800-Flowers.com brands. They also act as the advocate for the company's information-based business system. Prior to joining 1-800-Flowers.com in 2002, Mr. Cano spent 14 years at JP Morgan Chase leading various data base marketing and customer knowledge teams. He and his family reside in Farmingdale, New York. Stephan Chase Stephan Chase is Vice President of Customer Knowledge for Marriott International. He leads Marketing's analytics, automation, and data warehousing efforts for Marriott's Lodging Division, manager and franchiser of more than 3,000 hotels. Chase's philosophy is that customer behavior is the ultimate litmus test of loyalty. So, quantitative analysis of customer propensities is the foundation of an effective approach to strategy development and marketing execution. This work has led him to identify traits that indicate future short- and long-term behavior and to estimate the incremental profitability of individual customers. His work has earned recent Best Practice Awards in Calculating Customer Profitability as well as Process Measures and Analytics. He was named a Customer Champion by 1to1 Media in 2007. William Kahn William Kahn has a 20-year track record of building the teams that deliver quantitatively-based solutions to complex business problems. As Vice President and Head of Credit Analytics at Fannie Mae, Bill ran home price forecasting, loss forecasting, consumer behavior modeling, and credit pricing. As Managing Vice President and Chief Scoring Officer at Capital One Bill ran the quality and governance of statistical modeling. As a Partner at the Mitchell Madison Group he ran large scale consulting projects in consumer behavior, automobile insurance adjustment, mortgage prepayment, credit card collections, and direct marketing. Earlier positions included work in semiconductor processing, epidemiology, and magnetic resonance spectroscopy. Bill has a BA in Physics and an MA in Statistics, both from the University of California, Berkeley and a Ph.D. in Statistics from Yale. Ming Teng Ming Teng has over 12 years of experience in database marketing. He has managed advanced analytics and modeling for online, email, and offline marketing programs in the marketplaces, consumer retail, financial, and publishing industries. Ming currently manages analytics at StubHub, an online ticket reseller (and subsidiary of eBay). His goals include establishing best of breed modeling and analytic engines to serve tailored user experiences to the StubHub fan-base. Prior to StubHub, he was a senior manager at eBay, leading large scale analytic efforts to improve customer profitability through target marketing programs. Prior roles include co-managing the Quris/Charles Schwab data-mining project integrating offline and online retail business to improve retention efforts. He earned his Bachelor degree in Statistics and Mathematics at the University of Minnesota. Anne Milley (moderator) As senior director of SAS' technology product marketing in worldwide marketing, Anne Milley oversees the marketing of SAS technologies. Her ties to SAS began with her thesis on bank failure prediction models and the term structure of interest rates. She completed this at The Federal Home Loan Bank of Dallas and became a manager in the credit group. She continued her use of SAS at 7-Eleven, Inc. as a senior business consultant performing sales analysis and designing and conducting tests to aid in strategic decision-making, e.g., price sensitivity studies, advertising and promotion analysis. Milley has authored various papers, articles and an award-winning report for the 1999 KDD Contest. She co-chaired the SAS Data Mining Technology Conferences, M2001 and M2002 as well as SAS' inaugural forecasting conference, F2006. She has served on web mining committees for KDD and SIAM and on the Scientific Advisory Committee for Data Mining 2002. In 2008 she completed a five-month working sabbatical at a major financial services company in the United Kingdom. Milley has a Master of Arts and Bachelor of Arts in economics from Florida Atlantic University in Boca Raton. She did post-graduate work at Aachen Technical University and is proficient in German. Event Photos |
|
||||||||||||||||||||||||||
![]() |
| Contact Us | Worldwide Sites | Search | Site Map | RSS Feeds | Terms of Use | Privacy Statement | Copyright © SAS Institute Inc. All Rights Reserved |