Speakers

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Co-Chairs

Dr. Goutam Chakraborty, Oklahoma State University
Dr. Jerry Oglesby, SAS

Keynote Speakers

Sambuddha Deb, Wipro
David Hand, Imperial College London
V. Kumar (VK), University of Connecticut
Gordon Linoff, Data Miners, Inc.

Keynote Panel Discussion

Moderator:	Sharat K. Mathur, ACG Solutions
Panelists:	Murli Buluswar, Farmers Insurance Ramin Eivaz, Kimberly-Clark Stuart Aitken, Safeway Inc.

Session Speakers

Subir Bandyopadhyay & Ranjan Kini, Indiana University Northwest
John Blackwell, The Nature Conservancy
Tom Bohannon, Analytical Business Solutions
Richard Bolton, KnowledgeBase Marketing
Andy Christian, AT&T
Michael Conerly, Winston Choi, Michael Hardin, University of Alabama
Filip Deforce and Jorg Besier, Accenture
Dursun Delen, Oklahoma State University
Andre de Waal, Northwest University, Potchefstroom, South Africa
Dina Duhon, Canadian Imperial Bank of Commerce and
Wayne Thompson, SAS
Gerry Gaerlan, U.S. Bank
Amit Ghosh, Cleveland State University
Gene Grabowski, Jr., Ford Motor Credit Company
Michael Hardin & Uzma Raja, University of Alabama
Hari S. Hariharan, Accenture
Maria Marsala Herlihy, KnowledgeBase Marketing, Inc.
Brad Jordan, Blue Cross Blue Shield-Florida
Chifei Juang, HSBC
David Kil, Accenture
Jay King, SAS
Karl Konsdorf, Sinclair Community College
Damond Ling, Canadian Imperial Bank of Commerce
Manya Mayes, SAS
Ting Millette, ETS
Will Neafsey, Ford Motor Company
James J. Paugh, III, Deloitte Consulting LLP
S. Greg Potts, MBA, Arkansas Foundation for Medical Care
Daniel M. Rice, Rice Analytics
Robert P. Schumaker, Iona College
Ramesh Sharda, Oklahoma State University
Simon Sheather & Mike Speed, Texas A&M University
Drew Theoni, Blue Cross Blue Shield-Florida
Monica Chiarini Tremblay, Florida International University
Sandeep Tyagi, Inductis, an EXL Company
Robin Way, SAS
Jeff Zeanah, Z Solutions, Inc.

Stuart Aitken is Group Vice President of Marketing Strategies for Safeway and oversees the company's Initiatives and Innovations group, SCOP (Safeway Category Optimization Process), and the Card and Loyalty Marketing group, which includes data mining, segmentation, analysis, targeted marketing and customer management. Mr. Aitken joined Safeway's IT department in 1999 and was responsible for running the Trickle sales project as well as developing the Customer Care application that is still in use by the Customer Call Center today.

Prior to joining Safeway, Mr. Aitken worked as a consultant for Platinum Technology in the Business Intelligence space. Before moving to Platinum Technology, he worked for Digital Equipment Corporation in their forecasting department. He also was employed as a lecturer teaching classes in small business management, artificial intelligence, systems implementation and various software applications.

Mr. Aitken holds an MSc in Information Management from the University of Strathclyde in Glasgow and a BA with Distinction from Queen Margaret College in Edinburgh. Mr. Aitken holds retail board seats at IRI, AC Nielsen and Teradata. He was Captain of his rugby club in Scotland for two years.

Subir Bandyopadhyay, Ph.D. is a Professor of Marketing at Indiana University Northwest. He has a Ph.D from the University of Cincinnati, an M.B.A. from the Indian Institute of Management, Calcutta and a B.M.E. from Jadavpur University, India. His areas of expertise include retail strategy, brand marketing, marketing models, e-marketing, and global marketing. Dr. Bandyopadhyay came to IUN in 2001 from the University of Ottawa. He has also taught previously at McGill University, the University of Cincinnati, and the University of Iowa. Dr. Bandyopadhyay has taught many courses including Marketing Strategy, Consumer Behavior, Marketing Management, Advertising, E-Marketing, Marketing Models, and International Marketing at the B.B.A, M.B.A. and Ph.D. levels. In addition, he has developed an innovative course on World Marketing in collaboration with the University of Cincinnati. The entire course is taught using virtual immersion techniques. Dr. Bandyopadhyay won the Trustee's Teaching Award, Teaching Advancement Grant and the CIBER grant at Indiana University, and Royal Bank Teaching Innovation Grant as well as the Distinguished Teaching Award at McGill University in recognition of his teaching excellence. Recently, he has been nominated for the Faculty Colloquium of Teaching Excellence at Indiana University. Besides North America, Dr. Bandyopadhyay has taught in many countries such as China, Croatia, Singapore, India and Malaysia. In recognition of his contribution to teaching management in China, he was awarded Honorary Professorship in 1995 by the Xi'an Statistical Institute, and in 1998 by Renmin University in Beijing. Dr. Bandyopadhyay has research interests in the application of econometric and economic modeling in marketing, retailing, brand management, e-marketing and global marketing. One of his papers titled "Beyond Country-of-Origin Effects: Introducing the Concept of Place-Origin" won the BEST PAPER award at the 5th International Society of Marketing and Development conference in June 1995 in Beijing. Recently, he published a paper with Bibek Banerjee at the prestigious Marketing Science journal. Besides Marketing Science, he has published extensively in many other reputed marketing journals including Marketing Management, Journal of Retailing and Consumer Services, Journal of Product and Brand Management, Quarterly Journal of Electronic Commerce, Journal of Segmentation in Marketing, Journal of International Consumer Marketing, and International Journal of Advertising. His research has been funded by the Research and University Grants of Indiana University, The Center for Sustaining Regional Vitality, and the Center for Cultural Discovery and Learning, both at IUN, and by many government agencies and NGOs such as SSHRC, CIDA, the Lilly Endowment, the McArthur Foundation, and by private corporations such as Procter & Gamble, Kraft, and the Kroger Co.

John Blackwell is the Senior Manager of the Business Information and Analytics group at The Nature Conservancy (TNC), the world's largest environmental non-profit. John has extensive experience in data warehouse design, data mining and SAS business intelligence products.

John's efforts to increase the fundraising efficiency of direct marketing at TNC through predictive analytics have led to significant lifts over previous business practices. He has used SAS data mining tools to create donor affinity models, lifetime value models, and to measure the effectiveness of programs throughout the organization. In addition, he has developed automated systems to streamline the data-processing tasks associated with direct-mail programs and has dramatically increased the quality and availability of critical and actionable business information to decision-makers.

John has a BA from the University of Virginia and an MS in Information Systems Technology from George Washington University.

Dr. Tom R. Bohannon is president of Analytical Business Solutions (ABS), a consulting firm specializing in applying analytical methods to business problems in industry and higher education. Before retiring from Baylor University in April of 2007, Bohannon was Director and Assistant Vice President for the Office of Institutional Research and Testing for twenty years. Prior to joining Baylor University, Bohannon spent ten years at Appalachian State University as an Associate Professor of mathematics and statistics, as the University Statistical Consultant, and as Director of Institutional Research. Dr. Bohannon has spent nearly 30 years in the institutional research field specializing in application of statistical methods to business problems in higher education. These applications include overseeing construction of data warehouses for Baylor University and applying data mining methods to enrollment management, retention, and fund raising.

For over twenty-five years, Dr. Bohannon has also been associated with SAS Institute as a trainer of SAS courses and consulting on the application of the SAS system to solve business problems. In recent years his interests have been in the areas of quality control, design of experiments, data warehousing, and data mining. He has assisted with writing course notes for quality control, design of experiments and data mining. He has been very active in SAS user groups in terms of presentations and chairing various committees.

Dr. Bohannon has served in leadership positions in several professional organizations including AIR, SAIR, NCAIR, and TAIR. He has presented papers and workshops at the following professional associations for over 30 years - AIR, SAIR, NCAIR, TAIR, ASA, SUGI and others. The cumulative number of professional presentations over the past thirty years is in excess of one hundred.

Dr. Bohannon earned a PhD in Statistics from Texas A & M University in 1976 and an MA in Mathematics from Wake Forest University in 1965. He also holds a BS in Mathematics with a Physics Minor from McNeese State University.

Richard Bolton is a Senior Analytics Consultant with KnowledgeBase Marketing. He has over 10 years experience providing analytic consulting services to deliver marketing solutions to clients. His expertise encompasses a wide variety of analytical techniques including data mining, exploratory data analysis, modeling and cluster segmentation which he applies to provide actionable insights in applications such as acquisition, retention, upsell/cross-sell and marketing optimization. Richard holds a PhD and Master's degree in statistics and has published in several journals.

Murli Buluswar is currently the Vice President, Insight And Innovation at Farmers Insurance. In this capacity he leads the internal analytics consulting group responsible for data driven strategic insight.

I&I serves a variety of business groups within Farmers, including Product Management, Underwriting, Claims, and Marketing.

Prior to joining Farmers in September 2006, he was Vice President of Financial Analysis & Strategic Planning at Answer Financial, Inc., the largest P&C insurance agency in the country. Prior to Answer, Mr. Buluswar served as a Product Manager at Progressive Insurance. In addition, his work experience includes roles with The Monitor Group, a global strategy consulting firm as well as Capital One, a leading consumer financial services organization.

Mr. Buluswar has a Bachelor of Arts in Economics from Bluffton University, a MS in Statistics from Auburn University, and a MBA from The University of Chicago.

Murli Buluswar and his wife, Ruchi Kumar, live in Beverly Hills with their son, Rohan.

Dr. Goutam Chakraborty has a B.Tech (Honors) in Mechanical Engineering from Indian Institute of Technology, Kharagpur, a PGCGM from Indian Institute of Management, Calcutta, a M.S in statistics and a Ph. D. in marketing from University of Iowa. He has held managerial positions with a subsidiary of Union Carbide, USA and with a subsidiary of British American Tobacco, UK. He is currently a professor of marketing at Oklahoma State University where he has taught digital business strategy, web-business strategy, electronic commerce and interactive marketing, data mining and CRM applications, data base marketing, new product development, marketing research, and product and pricing management for the past fifteen years. He has presented numerous programs and workshops to executives, educators, and research professionals in U.S., Europe, Singapore, Hong Kong, Dubai, Abu Dhabi, and India. He has won many teac hing awards including "Regents Distinguished Teaching Award" at OSU, "Outstanding Direct Marketing Educator Award" given by the Direct Marketing Educational Foundation, New York, Professor of the Year Award at CIMBA Italy, and Great Executive MBA Instructor award at the University of Iowa, Iowa City. His research has been published in many scholarly journals such as Journal of Interactive Marketing, Journal of Advertising Research, Journal of Advertising, Journal of Business Research, Industrial Marketing Management, etc. He has co-authored the book Contemporary Database Marketing. In addition, he serves(d) on the editorial review board of Journal of Business Research and Journal of Academy of Marketing Science. He has chaired the national conference for direct marketing educators for 2004 and 2005. He has also consulted extensively on issues related to developing digital business strategy, building and managing customer relationships, product development, and management and creation of e-business models with companies such as Aetna, Mercruiser, Thrifty Rent-A-car, Berendsen Fluid Power, Globe Life Insurance, Van guard Realtors, etc.

Hwanseok Choi, (Winston Choi) is currently working on a PH.D. in Applied Statistics at the University of Alabama. He holds a B.A. degree in Business Administration from the Hankuk University of Foreign Studies and both a M.A. in Marketing and a M.S. in Applied Statistics from the University of Alabama. Mr. Choi is currently a Research Assistant in the Center for Business and Economic Research at the Unversity of Alabama where he is participating in several research projects.

Atlanta native Andrew Christian is a graduate from the Georgia Institute of Technology with a Bachelor's in Industrial Engineering and a Master's in Statistics. He has worked in the telecommunications industry his entire career at Sprint, Cox Communications, Bellsouth, and now AT&T. He is currently a Senior Manager of Applied Mathematics in the Credit and Collections department of AT&T where he is responsible for risk behavior modeling and treatment strategy modeling.

Michael Conerly is currently Professor and Chair of the Information Systems, Statistics, and Management Science Department in the College of Business at the University of Alabama. His specialty areas are: regression analysis, data mining, statistical computing, graphics and data visualization, process control, multivariate quality control, forecasting, and statistical education. Dr. Conerly earned his B.S. degree from Lamar University, his M.S. degree and Ph.D from Southern Methodist University. Dr. Conerly has published numerous papers dealing with the practical use of statistics to solve "real-world" problems. He has published articles in publications such as Technometrics, Journal of the American Statistical Association, American Statistician, and Journal of Statistical Computation and Simulation. He has directed nine dissertations in Applied Statistics and served on more than 40 dissertation committees in other areas at The University of Alabama. He was appointed as an adjunct Research Scientist at the UAB Cancer Center in 1998. He is a member of the American Statistical Association, Biometric Society and Institute of Mathematical Statistics.

Sambuddha Deb is the Chief Quality Officer of Wipro. He is responsible for leading Wipro's Quality, Productivity, Six Sigma and Knowledge Management initiatives. He has been instrumental in leading Wipro through the PCMM Level 5 certification and the CMMi Level 5 certification. Deb has successfully led the integration of Six Sigma into software development processes at Wipro and also broad-basing Six Sigma application to different functional processes across Wipro Technologies. He has launched Lean in Software for Wipro over the last two years. During his tenure, Wipro became the first non-US company to receive IEEE award for software process improvements.

He has been the Keynote speaker in International forums like IQPC, Gartner, Fabtech and IAPD. He was invited as a speaker for JPMC's Lab Morgan Speaker series. He has been a guest lecturer at Marshall School of Management, USC, Stern Business School, NYU and Indian Institute of Management.

Prior to the current assignment, he was the Chief Executive for Wipro's Manufacturing & Health Care Solutions worldwide. He has an Engineering Degree and a Post Graduation in Management. He has been in the Industry for the last 24 years. He has experience in software delivery, service, system Integration and sales.

Filip Deforce works as a Customer Insight consultant in the Customer Relationship Management Service Line of Accenture. Within the CRM Service Line, Filip specializes in customer segmentation and analytics. Prior to joining Accenture he has worked for different consultancy firms who offer custom insight services.

Filip has a special interest in how data mining techniques can be used to support marketing decisions, particularly how data structures can increase the efficiency of Customer Insight analysis and how calculated variables can be embedded in the database structure. He has experience in retail, banking and insurance and communications.

Filip holds a Master in Commercial Engineering from the university of Leuven. He obtained his Master of Marketing Analysis degree from the university of Ghent.

Dursun Delen is an Assistant Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). He received his Ph.D. in Industrial Engineering and Management from OSU in 1997. Prior to his appointment as an Assistant Professor at OSU in 2001, he worked for a private consultancy company, Knowledge Based Systems Inc., in College Station, Texas, as a research scientist for five years, during which he led a number of decision support and other information systems related research projects funded by variety of federal agencies including DoD, NASA, NIST and DOE. His research has appeared in major journals including Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, Expert Systems with Applications, among others. He serves on the editorial boards of the Journal of Information and Knowledge Management, International Journal of Intelligent Information Technologies, and International Journal of Service Sciences. His research interests are in decision support systems, data and text mining, knowledge management and enterprise modeling.

André de Waal obtained his Ph.D. in Artificial Intelligence from the University of Bristol in England during 1994. He is currently associated professor at the Centre for Business Mathematics and Informatics of the North-West University and is responsible for the Data Mining teaching and research program. His research interests include Artificial Intelligence, Neural Networks, Data Mining and Credit Scoring. André was part of the team at the Centre for Business Mathematics and Informatics that won the SAS Academic Intelligence Award during 2005. He is also the co-developer of the AutoGANN modeling node that fully automates the construction of Generalized Additive Neural Networks in SAS Enterprise Miner.

Dina Duhon has over 10 years of experience in modeling and analytics in risk management and marketing in the financial industry. During that time, she has designed, developed and implemented solutions for loss forecasting, account management, and account origination, as well as multiple CRM initiatives. She has a strong background in knowledge management, risk modeling, loss forecasting, data mining, and statistics. She is an executive member of the Toronto Data Mining User Group. She currently works in the Credit Risk Analytics department at Canadian Imperial Bank of Commerce (CIBC). She has a Masters of Science in Statistics from the University of Toronto.

Ramin Eivaz is Senior Officer - Insight, Strategy & Growth for Kimberly-Clark's North Atlantic Consumer Products group. Ramin has responsibility for leading the Consumer group's strategy across North America and Europe as well as leading the development of key advanced capabilities for the customer- and consumer-facing organizations.

Prior to joining Kimberly-Clark in 2005, Eivaz held several management and senior leadership roles with PepsiCo, including having served as PepsiCo's Vice President, Business Intelligence and Customer Insight. In this role he utilized his strong general management, business strategy capabilities, and strategic planning experiences to lead and deliver corporate-wide results through vision setting, collaboration and functional expertise in Supply Chain Management, Advanced Analytics and Sales Support. Additionally, Ramin provided leadership and governance for the PepsiCo ERP initiative.

Before joining PepsiCo, Ramin held a series of marketing and sales positions with increasing responsibility at E&J Gallo Winery. Most notably, Eivaz led E&J Gallo's development of the industry's first Sales and Marketing data warehouse to integrate internal sales information with Spectra, Nielsen scanning, market demographic, and other consumer-based attitudinal and behavior information.

Ramin graduated from California State University - Stanislaus in 1985 with a bachelor's degree in computer science. He returned to California State University - Stanislaus where he earned a master of business administration degree with an emphasis in marketing in 1994.

Gerry Gaerlan is the Vice President of Marketing Analytics at U.S. Bank. With over 12 years of experience at U.S. Bank, he has been instrumental in the implementation of several large key initiatives at the bank including the customer relationship management program and most recently some of the trigger-based marketing and major cross-selling initiatives.

As manager of Marketing Analytics, he and his team are responsible for developing insights about their customers and markets. He is directly responsible for customer analytics, modeling, marketing research, and market and site analyses for the retail bank.

He holds a Master's Degree in Management Science, majoring in Operations Research from Case Western Reserve University in Cleveland and a B.S. in Management Engineering from Ateneo de Manila University in the Philippines.

Amit K. Ghosh is Associate Professor of Marketing at Cleveland State University, Cleveland, Ohio. He received his Ph.D. in Marketing and Masters in Applied Statistics from the University of Iowa. His primary research interests include model-based marketing strategy, modeling the consumer decision-process, and the use of data-mining and CRM principles to improve firm performance. He has published articles in the International Journal of Logistics Management, International Journal of Research in Marketing, Journal of Business and Industrial Marketing, Journal of Higher Education, Journal of Hospitality and Leisure Marketing, Journal of Marketing Theory and Practice, Journal of Product and Brand Management, Journal of Services Marketing, and Marketing Letters.

Gene Grabowski, Jr. serves as Manager of Operations Analytics for the Ford Motor Credit Company. His primary focus is to forecast collections call center workload and contract delinquencies. From these projections, optimal staffing levels are set for all North American call centers. Recently, his mission was expanded to include forecasts of vehicle sales and contract originations.

As manager, Gene and his team take a direct role in gathering relevant data and integrating account level predictive models into daily operations. This activity is leveraged to enhance forecasts and set staffing levels. Daily responsibilities within his team require a thorough knowledge of SAS and the ability to utilize its features for both IT and business customers. Gene is also actively involved in expanding and improving Ford Credit's data warehouse.

Gene holds an M.A. in Economics from Michigan State University and a B.S in Economics from Oakland University. He has over 15 years experience using SAS as both a statistical tool and a programming language. In June 2005, he became a SAS Certified Advanced Programmer.

David Hand is Head of the Statistics Section in the Mathematics Department and Head of the Mathematics in Banking and Finance programme of the Institute for Mathematical Sciences at Imperial College London. He studied mathematics at the University of Oxford and statistics at the University of Southampton. His most recent book is Information Generation: How Data Rule Our World. He launched the journal Statistics and Computing, and served a term of office as editor of Journal of the Royal Statistical Society, Series C. He is President of the International Federation of Classification Societies, and has been elected President of the Royal Statistical Society for 2007-2009. He has received various awards and prizes for his research, including the Guy medal of the Royal Statistical Society, a Wolfson Research Merit Award from the Royal Society, and an Outstanding Contributions Award from the IEEE International Conference on Data Mining. His research interests include classification methods, the fundam entals of statistics, and data mining, and his applications interests include medicine and finance. He acts as a consultant to a wide range of organisations, including governments, banks, pharmaceutical companies, manufacturing industry, and health service providers.

Dr. Michael Hardin is Associate Dean for Research, and the Director of the Institute of Business Intelligence with the College of Business at the University of Alabama, as well as a professor of statistics at the University. He has authored or co-authored over 90 papers in various journals including the Lancet, the Journal of the American Medical Association, the Journal of the American Medical Informatics Association, the American Journal of Epidemiology, the American Statistician, the Journal of Statistical Computation and Simulation, and Communications in Statistics. He is the author or co-author of over 170 abstracts presented at national meetings and has given over 90 invited lectures or talks. He is the author of several book chapters dealing with database design and decision support systems.

Dr. Hardin often serves as a consultant to healthcare organizations in the areas of data mining, sampling, and program integrity. Additionally, he is an instructor and consultant for SAS in the areas of data mining and time series analysis. He is Adjunct Professor of Biostatistics and Adjunct Professor of Health Informatics at the University of Alabama at Birmingham. He has served as Scholar in Residence in the Center for Information Management, Department of Information Systems and Operations Management, Loyola University, Chicago, and Visiting Professor in the Department of Management and Information Sciences and Statistics at Trinity College, Dublin, Ireland.

A member of numerous professional associations including the American Statistical Association, the Biometric Society, and the Institute of Mathematical Statistics, Hardin's specialty areas include data mining and knowledge discovery, data visualization, data warehousing, machine learning, statistical classification models, data management and collection methodologies, research design, informatics, the applications of statistical methodologies in the study of aging, and biostatistics.

Hardin earned a B.A. from the University of West Florida, an M.S. from Florida State University and an M.A. and Ph.D from the University of Alabama.

Hari Hariharan is a Senior Manager with the Customer Insight Group of the Customer Relations Management Global Service Line of Accenture. Hari has over ten years of experience in marketing, marketing research and decision analytics. At Accenture, Hari has led CRM engagements with clients not only in the US but also in Asia, Australia, and Europe. Prior to joining Accenture, Hari was a principal in a consulting company specializing in the development and implementation of insight driven managerial decision support systems. He has worked with Fortune 500 clients in Financial Services, Automotive, Manufacturing, Retail and Government. Hari also served on the Marketing faculty in the School of Business, University of Wisconsin-Madison. In that capacity he was closely associated with the Nielsen Center for Marketing Research.

Hari obtained his Ph.D in Marketing from the University of Iowa with a minor in Econometrics and Statistics. In addition he holds an MBA and a BS in Chemical Engineering.

Maria Herlihy has over 15 years' experience on the development and management of enterprise-wide database, analytical and marketing solutions. Her approach has centered around applying advanced analytics to large volumes of data for the purpose of solving specific complex business problems, surfacing latent opportunities and improving the ROI on marketing efforts. She has successfully managed database marketing and analytics services teams that provide ongoing consultation for the design and development of customer data warehouses. Her experience and expertise includes a wide variety of analytical and consulting functions from model development for direct marketing to inventory management, call center staffing and warehouse logistics.

Brad Jordan has been with BCBS of Florida for over 6 years. During that time he has served as the technical lead of Medical Informatics that analyses and forecasts claims experience that exceeds $3 Billion annually. In addition, he as administered SAS in a multi-platform architecture with over 500 users. In his current role, he is responsible for Marketing Analytics including the implementation of a consumer marketing database that provides for end-to-end campaign management, the creation and validation of segmentation strategies for members, groups, physicians and agents, and for the development of customer lifetime value algorithms and applying them to the consumer marketing database to better understand cross-sell and value propositions for target customer segments. Brad has over fifteen years of experience with the SAS system. He has developed and facilitated instructor-based SAS training courses for nearly ten years for various clients. He also has practical experience using SAS in a variety of industries such as insurance, banking, finance, manufacturing, education and government. His management of computer programming staff offers the perspective of technical capability, user requirements, and organizational goals. He has worked in a number of industries where he has been responsible for design and implementation of SAS-based applications including reporting, forecasting, decision support systems, data marts and predictive modeling/data mining. In addition to his work experience, Brad has served as the head of several SAS user groups, is a Certified SAS professional and has a B.S. in Information Management from Jacksonville University where he is currently pursuing an M.B.A.

Chifei Juang is the group director of forecasting for the Consumer and Mortgage Lending business at HSBC. She has over ten years of experience in the financial industry. Her experience includes managing credit criteria and marketing offers for the direct mail program for credit card and consumer finance businesses as well as assessing market potential and optimizing lead sources to support branch operations. Chifei has an MBA, an MS in Statistics, and a PhD in Marketing degree from the University of Iowa.

David Kil is currently leading an initiative on predictive healthcare informatics and consumer health experience optimization at Accenture Tech Labs in Palo Alto, CA. Prior to joining Accenture, Dave was chief scientist at Humana, leading the development of the Integrated Wellness and Health Management platform leveraging predictive analytics, real-time impact analysis, and resource-allocation management with benefit design optimization, resulting in improved business outcomes for the commercial business. The Web implementation received CompuerWorld's best-in-class award in 2005. Before Humana, Dave was in charge of numerous 6.1 and 6.2 R&D projects at Rockwell Science Center and Lockheed, building intelligent systems for various DOD laboratories and commercial enterprises leveraging advanced analytics and robust systems architecture. He published a book entitled "Pattern Recognition and Prediction with Applications to Signal Characterization" by Springer-Verlag as well as over 30 journal and conference papers, and holds multiple US patents.

Ranjan B. Kini is a Professor of MIS. He is an active member of DSI, ACM, AIS, and IACIS. Kini has published extensively in many leading business journals such as (JMS, ISMJ, JC&IE, IJCAT, IJOPM, IJM, JCIS, BIT, JTMD, IJME) and proceedings. His current research interests include e/mBusiness, Ethics in IT, ICT Outsourcing, etc. He teaches MIS, DSS, Data Mining, and eBusiness. He has received Teaching Excellence awards and is a multiple inductee in Who's Who Among America's Teachers. He has received many grants. He is a regular teacher in international universities. He is listed in numerous Who's Who directories. He provides consulting services for small and medium sized businesses in IT and Business Intelligence.

Jay King is an Analytical Consultant at SAS. He holds a B.S in Mathematics and an M.S. in Applied Mathematics. For the past two years he has been responsible for providing analytical services for the Communications, Content and Entertainment (CCE) business unit, specializing in data mining solutions. He has been an Analytical Consultant at SAS for 7 years and has over 15 years of experience in statistical and mathematical consulting. Prior to joining the CCE business unit he was a member of a general group of analytical consultants that provided expertise to SAS customers across all industries.

Karl Konsdorf is the Manager of Database Analytics and Reporting at Sinclair Community College. He provides the technical leadership in the design, development, and implementation of Sinclair's Data Warehousing/Business Intelligence solution. Karl has been building BI solutions for over seven years in the private and public sectors; specifically, in manufacturing and higher education.

Karl earned his Bachelor's degree from Wright State University in Management Information Systems and his MBA from the University of Dayton. He also holds various professional certifications including Certified Business Intelligence Professional from the Institute of Certified Computing Professionals.

V. Kumar (VK) is the ING Chair Professor of Marketing, and Executive Director, ING Center for Financial Services in the School of Business, University of Connecticut. He has been recognized with over 20 teaching and research excellence awards including the Paul H Root Award twice for the paper published in the Journal of Marketing that contributes to the best practice of Marketing, and the Don Lehmann Award twice for the best paper published in the Journal of Marketing/Journal of Marketing Research over a two year period. He has published over 125 articles in many scholarly journals in marketing including the Harvard Business Review, Journal of Marketing, Journal of Marketing Research, Marketing Science, and Operations Research, book chapters and books. His books include Customer Relationship Management: A Databased Approach, Marketing Research, and International Marketing Research. He was recently listed as one of the top five ranked scholars in marketing worldwide. He has taught in numerous universities and has presented executive education programs for various firms worldwide. He has consulted for numerous Global Fortune 500 firms and is the Chairman and CEO of IMC International, a business consulting firm. He received his Ph.D. from the University of Texas at Austin.

Daymond Ling is Senior Director, Modelling & Insights at Canadian Imperial Bank of Commerce where he is responsible for customer-centric Data Mining and Strategic Insight for the Retail Bank. Prior to CIBC, Daymond worked for American Express Canada in Risk Management with experience in New Accounts, Authorizations, Credit, Collection, and Fraud.

Daymond has close to 30 years of experience in Data Mining and Analysis in the commercial world. He holds a Bachelor of Science degree in Honours Physics, and a Master of Science degree in Management Science/Operations Research, both from University of British Columbia in Canada.

Gordon Linoff has had a keen interest in understanding and analyzing large data sets and in applying the results to business problems since he was a student at the Massachusetts Institute of Technology. Gordon is a practitioner, thought-leader, and teacher in the area of data mining.

The talk presented here is based on his most recent book, Data Analysis with SQL and Excel, which is published by Wiley and due out at the end of 2007. His earlier books, written with his colleague Michael Berry, include Data Mining Techniques for Marketing, Sales, and Customer Relationship Management and Mastering Data Mining: The Art and Science of Customer Relationship Management.

Gordon is a Founder and Principal of Data Miners, Inc., a consulting group focused on data mining. Prior to founding Data Miners in 1998, he also worked at Naviant Technology Solutions and Thinking Machines Corporation. He has consulted for a wide range of companies including Bank of America, BT, The Limited, The New York Times, T-Mobile, The Teaching Company, and Pfizer.

Sharat Mathur is a Principal of ACG Solutions - a premier analytics outsourcing firm. He most recently was a Partner at Archstone Consulting in their Consumer Products practice. Prior to Archstone, he was a Principal at Booz Allen Hamilton in Chicago. His consulting experience spans a range of consumer and related industries including food, beverage, home and personal care, alcoholic beverage distributors, airlines, building products and government agencies. The primary areas of his expertise include corporate and business unit strategy, sales and marketing strategies and capability development, analytical marketing, pricing and trade promotion effectiveness and organization planning and design. Before joining Booz Allen, he was an Assistant Professor of Marketing at The Australian Graduate School of Management, Sydney and The Anderson School, UCLA. As an academic he was a consultant and advisor to several companies in Australia as well as the Australian government. He has conducted executive training programs in the area of innovation, marketing strategy, brand equity and database marketing in Australia and India including several in-house programs for major corporations. In addition, he has worked at Associated Breweries and Distilleries in Mumbai and interned at Hindustan Lever Limited (a subsidiary of Unilever PLC).

Sharat's publications include three recent articles in Forum, the magazine of The Grocery Manufacturers Association (GMA). He also authored two recent articles "The Artful Science of ROI Marketing" published in Strategy and Business and "When Art Meets Science: The Challenge of ROI Marketing" a S&B/knowledge@Wharton white paper. His academic research has been published in several international journals including The Journal of Forecasting, Asian Journal of Marketing, Australian Journal of Management and The Journal of Business Research. He has presented his research at over 25 international conferences sponsored by organizations such as The Institute for Operations Research and Management Sciences, Association for Consumer Research and The American Marketing Association.

Sharat has a Ph.D. from the University of Iowa, an MBA and a B.A. with Honors from the University of Rajasthan, Jaipur, India.

Manya Mayes, a 12-year SAS veteran, plans and executes SAS' worldwide marketing strategies for text mining as SAS' Chief Text Mining Strategist. She has more than five years of text and data mining consulting experience with major manufacturers, financials, telco, retail, helping them better understand the information gathered through warranty, call centers, chat rooms, and other customer data sources. She also has played an instrumental role in developing text mining applications for emerging technologies in the area of early warning, consumer and product safety in manufacturing, and most recently audio analysis. Manya is the author of a number of white papers and articles on text mining, her work with SAS Text Miner began with its inception in 1998. Manya earned a Bachelor's degree in Mathematics from the University of Waikato, New Zealand in 1991.

Ting Millette has more than 10 years experience on designing, implementing, managing analytical and marketing solutions. Her focus is on customer segmentation model, risk predictive model, direct mailing, customer life time value model, customer basket model and support business campaign. She has presented SAS papers at SAS Global Forum, SAS Business Forecasting Conference, SAS Data Mining Conference and SAS Western User group Conference.

Ting holds a BS in computer science and MS in statistics from University of Texas at Austin. Ting is a member of the American Statistical Association.

Will Neafsey is the Brand DNA and Consumer Segmentation Manager for Ford Motor Company. During his last 15 years with Ford, he has worked in Market Research, New Business Creation and Incubation, Information Technology, Operations Research, Manufacturing, and at Ford Financial. He holds a Bachelors and Masters Degree in Operations Research from Cornell University, as well as an MBA from Cornell's Johnson School.

Jerry L. Oglesby holds a Ph.D. in Statistics from Texas A&M University, an M.S. in Mathematics from Lamar University, and a B.S. in Mathematics from the University of Mississippi. He currently works for SAS as the Director of Higher Education Consulting and Global Certification within the Education Division. This department is charged with supporting SAS in the university wide community. It has, as its major goal, the introduction of SAS training materials and software in the curriculums of courses across many units within the universities. Prior to starting this group, he was Director of Analytical Consulting within the Professional Services Division. As Director of Analytical Consulting he grew the Department from its formation to approximately forty modelers and business analysts whose primary function was to provide analytical support and expertise to SAS' sales force and customers. This group was largely responsible for the support of the successful launch of SAS' award winning data mining solution, Enterprise Miner.

From 1990 until joining SAS in July of 1996, Jerry was employed by Monsanto Chemical Company as plant statistician and Manufacturing Technologist. He was CEO and founding President of SCI Data Systems from 1977 to 1990. Following completion of his doctorate at Texas A&M in 1971, he was a professor of Statistics at the University of West Florida where he established the Institute for Statistical and Mathematical Modeling for doing analytical and computational consulting for clients on and off campus.

Jerry serves on several advisory boards in support of statistics and data mining:

Data Mining Advisory Board, College of Arts & Sciences, University of Central Florida
Central Michigan University Research Corporation, Center for Applied Research & Technology, Central Michigan University
Center for the Management of Information Systems, Department of Information & Operations Management, Mays Business School, Texas A&M University
Master of Marketing Research Program, Coca-Cola Center for Marketing Studies, Terry College of Business, University of Georgia
Institute of Business Intelligence, Department of Information Systems, Statistics, and Management Science, Culverhouse College of Commerce and Business Administration, The University of Alabama
Department of Statistics & Operations Technology, Daniels College of Business, University of Denver
Industry Advisory Committee, North Carolina Community College System
Information Technology Advisory Committee, Pennsylvania College of Technology
Computer Information Systems Division Advisory Board, Wake Technical Community College
Decision Sciences & Center for Quality & Productivity Advisory Board, Business Computer Information System, College of Business Administration, University of North Texas

James Paugh has over 25 years of consulting and safety-related manufacturing experience specializing in post-injury management and workers' compensation. His experience includes programmatic work with the National Safety Council, on-site safety and loss control responsibilities for light (injection molding) and heavy (forging) manufacturing and consulting in a variety of industries from paper processing/publishing to hospitals to rental car operations to prisons.

While at Deloitte, he has been intimately involved in developing the predictive modeling application and process for workers' compensation claims management. His clients are both Fortune 500 and international and range from Best Practices to Fraud Technologies to TPA Selection and Management.

In addition, he was co-founder of Lynch Ryan, a nationally recognized workers' compensation firm, where he developed many workers' compensation cost reductions techniques, wrote employer/employee handbooks/guidebooks for program rollout and implementation as well as managed single-site to Fortune 500 accounts.

He was graduated from Assumption College and holds an MBA from Northeastern University.

Greg Potts is the Data Mining Team Leader for the Arkansas Foundation for Medical Care. As Data Mining Team Leader, Mr. Potts applies tools such as SAS Enterprise Miner to Medicaid claims data in an effort to identify key drivers of health care costs in the Arkansas Medicaid population. Mr. Potts has also served as the state Coordinator for the Behavioral Risk Factor Surveillance System (BRFSS) survey with the Arkansas Department of Health, and has managed several survey research projects from inception to completion with other companies.

Uzma Raja is an Assistant Professor of MIS at the Manderson Graduate School of Business, the University of Alabama. Her area of research is software system development and maintenance. Her research on Open Source Software projects using Data Mining and Text Mining has been presented and published at various conferences and professional meetings, including SUGI 31, INFORMS and ICSE.

Dr. Raja earned her Ph.D. in Information Systems from Texas A&M University. She also holds a B.S in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan, an M.S in MIS from Texas A&M University. She has over seven years of experience as a systems engineer with a global consulting company.

Since 1986, Dan Rice has been providing advanced analytical consulting to leading businesses in the pharmaceutical, retail, information technology, financial services, media, and consumer packaged goods sectors. This work has often focused on complex data mining problems involving large numbers of variables in the prediction of consumer attitudes, choices, and behavior. Dan has a Ph.D. in Experimental Psychology from the University of New Hampshire and Postdoctoral training in Applied Statistics at the University of California-Irvine. He has previously been a full time faculty member at the University of California-Irvine and the University of Southern California and has academic publications in the fields of cognitive psychology, cognitive neuroscience, psychometrics, and statistics. Dan is the inventor of Reduced Error Logistic Regression - a new statistical modeling method implemented in SAS that overcomes significant limitations of existing Logistic Regression methods related to multicollinearity.

Dan is the Principal of Rice Analytics - a SAS Alliance Partner firm that focuses on advanced analytics.

Robert Schumaker is an Assistant Professor in Information Systems at Iona College. He received his PhD in Management from the University of Arizona in 2007, an MBA degree in Management and International Business from the University of Akron in 2001, and a Bachelors of Science degree in Civil Engineering from the University of Cincinnati in 1997. Rob's overall research interests involve the uses of technology to acquire, deliver and make predictions in a variety of Business-related environments. These interests further branch into computer mediated communications, design science, human computer interfaces, machine learning algorithms, natural language processing, technology acceptance models and textual data mining.

Ramesh Sharda is Director of the Institute for Research in Information Systems (IRIS), ConocoPhillips Chair of Management of Technology, and a Regents Professor of Management Science and Information Systems in the College of Business Administration at Oklahoma State University. He received his B. Eng. degree from University of Udaipur, M.S. from The Ohio State University and an MBA and Ph. D. from the University of Wisconsin-Madison. He started and served as the Director of the MS in Telecommunications Management Program at the Oklahoma, State University, a model program of interdisciplinary graduate education. His research has been published in major journals in management science and information systems including Management Science, Information Systems Research, Decision Support Systems, Interfaces, INFORMS Journal on Computing, Computers and Operations Research, and many others. He serves on the editorial boards of journals such as the INFORMS Journal on Computing, Decision Support Systems, Information Systems Frontiers, and OR/MS Today. His research interests are in decision support systems, information systems support for collaborative applications, and technologies for managing information overload. Defense Logistics Agency, NSF, the US Department of Education, Marketing Science Institute, and other organizations have funded his research. Ramesh is also a cofounder of a company that produces virtual trade fairs, iTradeFair.com.

Professor Simon Sheather is the head of the Department of Statistics at Texas A&M University. Simon's research interests are in the fields of nonparametric and robust statistics. He is also interested in statistical models of wine quality.

Simon has extensive consulting experience, particularly in the application of statistical methods to business situations. He has worked with clients from a range of industries including banking, hospitality, fashion, transport, real estate and consumer products as well as government.

In 2001, Simon was named an honorary fellow of the American Statistical Association. Simon is currently listed on ISIHighlyCited.com among the top one-half of one percent of all mathematical scientists, in terms of citations of his published work.

Simon has served as an Associate Editor of the Journal of the American Statistical Association. In addition, he was the Inaugural Managing Editor and the Theory and Methods Editor of the Australian & New Zealand Journal of Statistics. Simon holds a B Sc (Hons) degree (Melbourne) and a Ph D in Statistics (La Trobe).

Professor Michael Speed is the Director of Online Learning in the Department of Statistics at Texas A&M University. Mike's research interests are in the fields of linear models and the use of technology in the classroom. As the Associate Dean of Technology Mediated Instruction in the College of Science, he assists the University faculty in improving the learning environment by using technology.

Mike has considerable consulting experience, principally in the application of statistical methods to business, environmental and ecological data. He consults with state and federal agencies as well as individuals and corporations.

In 2006, Mike was named a fellow of the American Statistical Association. He received the Shewell and the Jack Youden awards as well as the H. O. Hartley and the W.S. Connor awards. As a NASA engineer, he received the Sustained Superior Performance Award in 1969.

In addition to the usual service activities to the statistical profession, Mike has been very active in the civic and business community. He has held public offices and has worked on committees at the local, state and national levels. Michael holds a BS and MS degree from St. Mary's University in San Antonio and a Ph. D. from Texas A&M University.

Wayne Thompson is an Analytics Product Manager at SAS. His primary efforts are centered around bringing relevant product/solution feedback from customers to the SAS Enterprise Miner and SAS Model Manager development teams to extend SAS Institute's leadership position in the data mining market. He has been employed at SAS since 1992. During his tenure at SAS, Wayne also served as a Statistical Services specialists for the Education Division in which he developed and taught applied statistical courses as well as collaborated on several data analysis projects for clients from many industries including pharmaceuticals, financial services, health care, telecommunications, and insurance. He also was a statistical writer for the Publications Division. Wayne received his Ph.D. and M.S from the University of Tennessee in 1992 and 1987, respectively. His research interests centered on applying mixed models techniques to analyze agronomic grazing trials. During his PhD program, he was also a visiting scientist at the Institut Superieur d'Agriculture de Lille, Lille, France where he taught applied data analysis courses and assisted students during with their thesis research.

Monica Chiarini Tremblay is an Assistant Professor in the Decision Sciences and Information Systems Department in the College of Business Administration at Florida International University in Miami. Her research interests focus on data analytics and business intelligence, data and text mining, data quality, data warehousing, decision support systems and knowledge management. Her research has been published in the Journal of Computer Information Systems and Decision Support Systems and she has presented at national and international conferences. Monica was selected to participate in the International Conference on Information Systems doctoral consortium and received the University of South Florida, College of Business' doctoral research award. Her teaching experience includes courses in database design administration, statistics, business intelligence and introduction to business information systems. Dr. Tremblay just recently completed her Ph.D. at the University of South Florida and has an Industrial and Systems Engineering bachelor's degree from the University of Florida. Prior to her academic career, Dr Tremblay worked as a senior systems analyst at a large multi-national company where she was involved in the design, implementation and support several ERP, material handling, and accounting information systems.

Sandeep Tyagi founded Inductis in June 2000. Since then he has been responsible for setting the firm's direction, building and sustaining a winning culture and developing new business opportunities. He has also led several engagements for large companies in the areas of high-end analytics, outsourcing, marketing strategy and technology. He has been instrumental to the rapid growth of Inductis.

Sandeep has advised Fortune 100 clients for over 15 years. While a partner at the Mitchell Madison Group (MMG), a leading strategy consulting firm, he was also the leader of the Pricing and Product Design Practice and co-leader of the eCommerce Practice. While at MMG, Sandeep headed up strategy engagements in investment optimization, reengineering, risk analytics and new product development.

Sandeep serves as a board member of the IIT Delhi Excellence Foundation, a non-profit organization focused on developing IIT Delhi and its alumni network. He is also a Charter Member of TiE, an organization focused on nurturing entrepreneurship and a member of the Young Presidents Organization (YPO). Sandeep has been named a 2006 Forty Under 40 Award recipient.

Mr. Robin Way has over 20 years of experience in the application of analytic techniques to predicting and understanding consumer behavior. His clients include leading U.S. retail banks, credit card issuers and payments processors, investment firms, telecom providers, and electric, water and natural gas utilities. Mr. Way specializes in a unique combination of practical consumer behavior prediction and measurement skills plus deep technical expertise in applying leading edge analytical tools to attack thorny, often multi-disciplinary problems that his clients seek to solve, in order to maximize profit and mitigate risk. He has developed novel, data-intensive approaches for customer segmentation, customer retention, demand forecasting, and next-generation profiling of customer behavior in the financial services and energy sectors. Mr. Way also contributed to the development of packaged software applications for customer retention and mathematically optimal offer allocation and customer contact strategies.

Mr. Way holds a Bachelor of Arts Degree from the University of California at Berkeley. He has also completed graduate coursework in econometrics, mathematical economics and applied psychology at Portland State University, and has completed a Certificate in Marketing Management from the University of Oregon.

Jeff Zeanah is the President of Z Solutions, Inc. a firm focused on the support of organizations through predictive analytics and exploratory data mining. His primary interests and research concern the problems organizations face to improve their business decisions through data analysis, including predictive analytics and the selling of the results. Jeff has consulted with industry leaders in manufacturing, retail, public health, science, finance, nutrition and utilities. He is an instructor for SAS Institute Inc. A frequent guest lecturer at universities on the topic of applying analytics to business, he serves on the board of the Institute for Business Intelligence at The University of Alabama.

As a recognized expert on neural networks and a broad range of exploratory data mining tools Jeff has authored papers on neural networks, exploratory data mining, and the implementation of those techniques in organizations. He is the developer of exploratory approaches and techniques that have been used worldwide by Fortune 500 companies, independent researchers, government agencies, and over 30 universities worldwide. His approaches have been applied in areas as diverse as improving manufacturing processes, analyzing market research, tasting wines, searching for oil, controlling river flow, sizing electric transformers, and classifying stars.