Pete Affeld manages advanced statistical modeling projects for Sprint. His 18 years of experience span a diverse group of industries, including securities and antitrust litigation support, automotive, mortgage and telecommunications. He has performed and managed projects using a broad variety of statistical methods, especially advanced applications of survival analysis and quantitative forecasting techniques. Mr. Affeld has a Masters Degree in Economics from the University of California at Santa Barbara.

Koos Berkhout is Head of the Business Insight Unit at Loyalty Management UK (LMUK). LMUK runs Nectar, the UK's largest loyalty programme, with a coalition that in three years grew from 4 to 17 partners including companies such as Sainsbury, Ford, Hertz, American Express and BP. Nectar is present in 50 per cent of UK households, and Collectors can earn points at more than 6,500 retail outlets across the UK. Koos is responsible for the development and deployment of LMUK's data mining, spatial analysis, campaign management and reporting capability.

Prior to joining LMUK Koos worked as Business Planning Director for Loyalty Management International the company responsible for setting up coalition loyalty programmes in Canada, the Netherlands, Spain and the Middle East. He also set up the database marketing department for a Boston-based loyalty company developing credit card-based loyalty programmes for various US supermarkets and banks. Koos launched his career with Loyalty Management Netherlands B.V. (LMN) in 1994 where he helped develop LMN's database marketing capability.

Koos received a Bachelor of Arts degree in Business Law, Banking and Finance from the Hogeschool voor Economische Studies in Rotterdam, the Netherlands. He also earned a Master of Business Administration degree from Western Carolina University in the United States of America.

Michael J. A. Berry, Co-founder and Principal Consultant of Data Miners, has twenty years experience in the field that has come to be known as data mining. He specializes in applying advanced analytical techniques to solve practical business problems. With his colleague Gordon S. Linoff, he is the author of the best-selling book in the field, Data Mining Techniques for Marketing, Sales, and Customer Support (John Wiley & Sons, 2004). The two authors have also teamed up to write Mastering Data Mining, a case-study based approach to best practices in data mining for every stage of the customer lifecycle, and Mining the Web, which covers the special challenges of data mining in the on-line world.

Mr. Berry holds a Bachelor of Arts Degree in Mathematics from Oberlin College. He has long been interested in finding patterns in data. His first publication (outside of conference proceedings) was a chapter on a program he wrote to play New Eleusis in Computer Game-Playing (1983 Bramer, M.A. ed., Halsted Press). New Eleusis is a game in which players attempt to derive the rules governing the play of cards by examining the pattern of accepted and rejected plays. Mr. Berry's program used a rule induction algorithm of his own design. What was then considered artificial intelligence has since joined the mainstream of business intelligence solutions. In recent years he has been finding patterns in large commercial databases instead of playing cards.

In association with his career in the computer industry, Mr. Berry has worked as a programmer, programming language designer, compiler writer, applications specialist, customer liaison and consultant. He has extensive experience applying data mining techniques, such as rule induction and memory-based reasoning, to extract actionable information from very large parallel databases to solve real business problems. In 1997, he founded Data Miners, a consultancy specializing in predictive modeling, data mining education and the integration of data mining into standard business practices.

Denise Best is a Consumer Research Project Leader at Hallmark Cards, Inc. Denise earned a BS degree in Mathematics from William Jewell College and a MBA from Rockhurst University in Missouri. She has been with Hallmark for 24+ years with 15 years of experience using SAS. For the past 6 years, Denise has been using data mining techniques for targeted marketing and consumer analytics for Hallmark's Gold Crown Card loyalty program.

Alexander Black is a Partner and the head of CSC's Customer Intelligence Practice. Mr. Black has over 25 years of broad-based experience in information systems, finance, operations, and project management. Mr. Black's background includes a blend of professional consulting and international sales and operations experience that has exposed him to a broad spectrum of systems, processes, and customer relationship issues. He has specialized in directing consulting engagements that develop a client's vision and strategy and transform business processes and information systems to achieve the organization's growth objectives.

Mr. Black developed CSC's Customer Relationship Management Solution. This solution includes CRM Strategy, Process Definition, Application Alliances and Data Integration that is offered by CSC Divisions throughout the world. In the course of this work, Mr. Black has become the leading spokesman for customer issues in CSC. Most recently, Mr. Black has focused on Customer Intelligence as a growth generator for organizations. Customer Intelligence comprises customer information consolidation (for a single view of the relationship) and the ability to identify actionable customer insights that drive longer lasting and more profitable customer relationships

Clients at CSC have included AT&T, Bristol Myers-Squibb, ConAgra, Dell, Dupont, DST, Flowserve, International Flavors and Fragrances, JP MorganChase, Hewlett-Packard, Novartis, Sun Microsystems, Sunoco and Vanguard.

Tom Bohannon, Ph.D. is the Assistant Vice President and Director at the Office of Institutional Research & Testing Services at Baylor University. The primary mission of the office is to engage in continuing research in all pertinent aspects of Baylor University and to provide complete testing services for Baylor students and public. Prior to this position, Dr. Bohannon served as the Director of the Office of Institutional Research at Appalachian State University and as an Associate Professor of Mathematical Sciences at Applachian State University.

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 20 years - AIR, SAIR, NCAIR, TAIR, ASA, SUGI and others. His areas of specialization include Statistics, Data Warehousing and Data Mining, Institutional Research and Computer Application, SAS Training and Applications, Microcomputer Training Applications.

Dr. Bohannon earned a Ph.D 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.

Tom Bradshaw is a Senior Vice President and Manager with the Bank of America in Charlotte, North Carolina. His team is responsible for analysis, data mining, and ad hoc projects in support of the bank's Deposit Products Group. Prior to joining the Bank of America Tom worked for Signet Bank in Richmond, Virginia where he managed the Analysis and Modeling group and prior to that he was with Crestar Bank, also in Richmond, where he was the Management Information and Reporting manager. Tom was introduced to SAS 25 years ago, when as a graduate student pursuing a Ph.D. in Toxicology the statistician supporting his lab left to work at the SAS Institute. Being the junior student in the group he was 'asked' to learn SAS and take over the lab's computing needs. Armed with a shoebox full of programs on punch cards Tom began his SAS career and soon learned that SAS and Statistics were more fun than injecting mice. Within the year he transferred to the Biostatistics program and has been using SAS and doing analysis ever since. Tom majored in Chemistry at the College of William and Mary, did his graduate work in Biostatistics at the Medical College of Virginia, and studied Business Administration at Virginia Commonwealth University.

James J. Cappel, Ph.D., is an Associate Professor of Business Information Systems at Central Michigan University. He teaches undergraduate and graduate MIS courses including systems analysis and management of information technology courses. Dr. Cappel has published more than thirty refereed journal articles and serial publications, and regularly makes presentations at MIS conferences. His research areas include business intelligence, and information systems ethical, strategic, and educational issues. Dr. Cappel was awarded the Faculty Adviser of the Year Award by the Association of Information Technology Professionals (AITP) for 2002-2003. He holds a B.A. from Xavier University (Ohio) and M.S. from the University of North Texas.

Dr. Robert Ceurvorst has been with Synovate since 1980 and heads up the company's statistical support group, Decision Systems. In that capacity, he specializes in research design, multivariate analysis and software development. Dr. Ceurvorst developed many of the analytic tools used by Synovate for segmentation, measurement of consumer relationships with brands, perceptual mapping, price sensitivity, quantification of the relative impact of predictors of behavior, and more. He has written a book on statistics for marketing research, several journal articles, and 13 papers in Synovate's Research on Research series. Dr. Ceurvorst holds a Ph.D. in Quantitative Methods from Arizona State University.

Manoj Chari is the Manager of the Marketing Optimization R&D group in the Operations Research and Development department at SAS Institute in Cary, NC.

He has a Ph.D. in Operations Research from the University of North Carolina at Chapel Hill. Before joining SAS in 2003, he was an Associate Professor of Mathematics at Louisiana State University, Baton Rouge. He has over a decade of academic research and teaching experience in discrete mathematics and optimization. He has held visiting academic positions at the University of Waterloo, Canada, Technical University of Berlin and Indian Institute of Science. His professional interests are in optimization modeling, theory and algorithms, particularly in the area of large scale linear and combinatorial optimization.

B. Jay Coleman is the Richard deRaismes Kip Professor of Operations Management and Quantitative Methods in the Coggin College of Business at the University of North Florida, whose faculty he joined in 1988. Dr. Coleman earned his M.S. (1985) and Ph.D. (1988) in Industrial Management from Clemson University. He was named the Outstanding Graduate Faculty by 1995-1996 alumni of the Coggin College's masters programs, and received university teaching awards in 1991, 1993, 1996, and 2000. In 2003, he received both the University Outstanding Scholarship Award and the University Outstanding Service Award. He was recently named the University Distinguished Professor for the year 2005.

Dr. Coleman is actively involved in research involving a wide variety of quantitative modeling applications, most notably in operations, finance, and sports management. His academic publications include articles in 17 different journals, including Decision Sciences, Production and Operations Management, Interfaces, Industrial Relations, and the Journal of Financial Research. A 1996 article in the Journal of Operations Management ranked Dr. Coleman's research productivity among the top 75 in the field of operations management in the United States.

In addition, his research has often drawn the eye of the business and popular press. BusinessWeek, Forbes, and Individual Investor have highlighted his research on financial applications. Moreover, his work with Allen Lynch on modeling the decisions of the NCAA Tournament Selection Committee as well as the results of NCAA Tournament games has been featured by the Wall Street Journal, Forbes, Investor's Business Daily, the New York Times, AP, UPI, USA Today, CNN, CNN Headline News, and ESPN: The Magazine.

Randy Collica received a B.S. degree in electronic engineering from Northern Arizona University in 1982. He has 16 years experience in the semiconductor manufacturing industry working on yield and product and quality engineering. Since 1998 he has been with Compaq and Hewlett-Packard as a Sr. Business Analyst using Data Mining techniques for targeted marketing and customer analytics in the Customer Data & Knowledge Services department. He has developed customer scoring models and models to estimate corporate IT spending for use in tactical and strategic customer and prospect business intelligence. His current interests are in Clustering and Ensemble models, knowledge and data engineering, missing data and imputation, and text mining techniques for use in business intelligence. He has authored and co-authored 11 articles and is currently writing a book on CRM Segmentation and Clustering for business applications using SAS Enterprise Miner. Mr. Collica has been a member of the IEEE since 1979.

Dr. Michael Conerly is a professor of statistics in the Department of Information Systems, Statistics and Management Science and the Director of the Applied Statistics program at the University of Alabama. He 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.

His research interests include regression analysis, data mining, statistical computing, graphics and data visualization, process control, multivariate quality control, forecasting, and statistical education.

Dr. Conerly holds a B.S. degree from Lamar University and an M.S. and Ph.D. from Southern Methodist University.

Jim Cox manages the development of SAS Text Miner. Before that, he was one of the designers and developers of SAS Enterprise Miner. In 1989, he received a Ph.D. in Cognitive Psychology and Computer Science from the University of North Carolina, and has over ten years research experience in Natural Language Understanding.

Nebahat Donmez has more than 8 years of experience in CRM and Data Mining. Since 2002, Nebahat has been working for the GSM company Turkcell mainly leading data mining projects on segmentation, churn prediction and propensity modelling. Meanwhile, Nebahat is pursuing her Ph.D. in Industrial Engineering at Bosphorus University on "Clustering of Large Databases with Categorical Attributes."

David Duling is the software development manager for SAS/Enterprise Miner. He has worked at SAS since 1996 developing various components for EM including the process flow diagram, scoring functions, neural network, ensemble models, and link analysis. David has degrees in Physics and Statistics and previously worked for the National Institutes of Health developing and publishing methods of numerical analysis in simulations of magnetic resonance spectroscopy.

Mike DuMond is an economist with ERS Group, an economic consulting and research firm, in Tallahassee, Florida. He holds a Ph.D., M.S. and B.S. in Economics from Florida State University. He has published research relating to compensation issues in professional economics journals such as Economic Inquiry and Industrial Labor Relations Review.

Dr. DuMond's previous experience was with Blockbuster, Inc. of Dallas, Texas. As Director of the Demographic Research Unit, he utilized the data mining techniques found in SAS to find optimal new store sites, to develop optimal pricing strategies, and to adjust merchandise in order to better match the customers' demographic profile.

His research interests include employee compensation and labor economics, the analysis of large databases, and the unique labor markets of professional and collegiate athletics. In addition to consulting and research duties with ERS Group, he also teaches labor economics as an adjunct professor at Florida State University.

Judi Field is a Research Project Leader with Hallmark Cards, Inc. She has 11 years of experience in applying statistical and modeling techniques to real-world business issues. She holds a B.A. in mathematics from the University of Cincinnati and an M.S. in statistics from the University of Central Florida. In her current role at Hallmark, Judi uses modeling to address a wide variety of business issues, such as direct marketing, consumer attrition, competitive analysis, impact of new programs, new product placement, and distribution planning. Judi also leads the retail testing effort for the Consumer Research Division. Prior to joining Hallmark, she worked in similar roles at Walt Disney World, Florida Water Services, and Tupperware North America.

Silvia Figini graduated in Economics at University of Pavia in 2001. Her thesis was on Correspondence analysis for e-crm and she worked under Professor Paolo Giudici, M2004 and M2005 speaker. Silvia has worked for two years for Competence centre of data mining analysis and business intelligence in SAS Institute Italy. She is now attending Bocconi University, where she is pursuing a Ph.D. in statistics. Silvia is currently a member of the Italian Statistical Society. Her research interests include Data Mining, Genomic Mining, and Stochastic processes.

Ken Fritz is currently the Deputy CIO for the Ohio Department of Natural Resources (ODNR). He is responsible for developing the business intelligence architecture and leading the effort to develop IT enabled business management strategies. In addition to his role in BI for ODNR he is the IT operations manager. He has been with ODNR for 25 years holding positions as a program manager and operations manager in one of its major business units successfully implementing strategic and operational planning and point of sale licensing. He has been in his current position five years.

Edward Gaffin is Manager, Strategic Analysis for the Walt Disney World CRM Group in Lake Buena Vista, FL. His group provides various quantitative research and modeling projects to support the marketing strategy of The Walt Disney World on-site resort hotels. This includes resort guest segmentation and predictive modeling to identify most likely resort guests. He is also responsible for implementing a central marketing business intelligence platform to provide various marketing departments with a 360-degree view of the guest. Prior to joining The Walt Disney Company he held similar analytical positions in the financial services industry, and a major retail site location consulting firm.

Johannes Gehrke is an Associate Professor in the Department of Computer Science at Cornell University and a Faculty Associate Director of the Cornell Theory Center. He obtained his Ph.D. in computer science from the University of Wisconsin-Madison in 1999.

Johannes' research interests are in the areas of data mining, data stream processing, data privacy, and applications of database and data mining technology to marketing and the sciences. Johannes has received a National Science Foundation Career Award, an Arthur P. Sloan Fellowship, an IBM Faculty Award, the Cornell College of Engineering James and Mary Tien Excellence in Teaching Award, and the Cornell University Provost's Award for Distinguished Scholarship. He is the author of numerous publications on data mining and data management, and he co-authored the undergraduate textbook Database Management Systems (McGrawHill (2002), currently in its third edition), used at universities all over the world.

Johannes has served as Area Chair for the International Conference on Machine Learning in 2003 and 2005, as co-Chair of the 2003 ACM SIGKDD Cup, and as Program co-Chair of the 2004 ACM International Conference on Knowledge Discovery and Data Mining. He is a member of the ACM SIGKDD Curriculum Committee.

Johannes has given courses and tutorials on data mining and data stream processing at international conferences and on Wall Street, and he has extensive industry experience as technical advisor and consultant.

Paolo Giudici (Msc in statistics, Minnesota, 1989; Phd in statistics, Trento, 1993) is Associate Professor of Statistics at the Faculty of Economics of the University of Pavia. He is a coordinator of an International Master of the School of Excellence of the University of Pavia (IUSS) on "Complexity and its interdisciplinary applications" and responsible for the E-learning activities of the Faculty of Economics of the University of Pavia. He has authored about 65 scientific papers, among which 2 research books, 30 articles appeared in international journals (ISI) and 33 papers in refereed proceedings and volumes. His research themes can be classified into: statistical models for data mining, multivariate graphical models, bayesian statistics and Markov Chain Monte Carlo computational methods. In 2001 he has founded the data mining laboratory of the University of Pavia that carries out research, applied and foundational, in collaboration with research institutions and companies.

Dr. Nita Glickman is on the staff of Purdue University where she serves as research coordinator for the department of Veterinary Pathobiology. In addition to a PhD in Educational Technology, she has master's degrees in computer science, public health, and education. She has published more than 60 articles in peer-reviewed journals related to human and animal health. Her current research involves mining a nationwide animal database using SAS technology to develop the Purdue Companion Animal Surveillance System.

Dr. Benton E. Gup has a broad background in finance. His undergraduate and graduate degrees are from the University of Cincinnati. After receiving his Ph.D. in economics, he served as a staff economist for the Federal Reserve Bank of Cleveland. He currently holds the Robert Hunt Cochrane/Alabama Bankers Association Chair of Banking at the University of Alabama, Tuscaloosa, Alabama, U.S.A. He also held banking chairs at the University of Virginia and the University of Tulsa. He worked in bank research for the Office of the Comptroller of the Currency while on sabbatical in 1997.

Dr. Gup is the author or editor of the following books: Capital Market, Globalization, and Economic Development (forthcoming); Commercial Banking: The Management of Risk, 3rd. ed., (with J. Kolari, 2005); The New Basel Capital Accord (2004); Too-Big-To-Fail: Policies and Practices in Government Bailouts (2004); Investing Online (2003); The Future of Banking (2003); Megamergers in a Global Economy - Causes and Consequences (2002); The New Financial Architecture: Banking Regulation in the 21st Century (2000); Commercial Bank Management, 2nd ed. (with D. Fraser and J. Kolari); International Banking Crises; Bank Failures in the Major Trading Countries of the World; The Bank Director's Handbook; Targeting Fraud; Interest Rate Risk Management (with R. Brooks); The Basics of Investing, 5th ed.; Bank Fraud: Exposing the Hidden Threat to Financial Institutions; Bank Mergers; Cases in Bank Management (with C. Meiburg); Principles of Financial Management; Financial Institutions; Financial Intermediaries; Personal Investing: A Complete Guide; Guide to Strategic Planning; and How to Ask for a Business Loan.

Dr. Gup's articles on financial subjects have appeared in The Journal of Finance, The Journal of Financial and Quantitative Analysis, The Journal of Money, Credit, and Banking, Financial Management, The Journal of Banking and Finance, Financial Analysts Journal, and elsewhere.

He is an internationally known lecturer in executive development and graduate programs in Australia (University of Melbourne, University of Technology, Sydney), New Zealand (University of Auckland), Peru (University of Lima), and South Africa (Graduate School of Business Leadership). He has been a visiting researcher at the Bank of Japan, and at Macquarie University, Sydney, Australia.

Finally, he serves as a consultant to government and industry. Dr. Gup's current research interests include banking issues and corporate valuation. He is currently working on a book dealing with money laundering and financing terrorism.

Dr. Richard Hackathorn is president and founder of Bolder Technology, Inc., a twelve-year old consultancy in Boulder, Colorado. Richard has over 30 years of experience in the IT industry and is a well-known technology innovator and international educator, conducting professional seminars in 18 countries. He has written three textbooks entitled Enterprise Database Connectivity, Using the Data Warehouse (with W.H. Inmon), and Web Farming for the Data Warehouse. He earned his B.S. degree from the California Institute of Technology and his M.S. and Ph.D. degrees from the University of California, Irvine.

David Hand is Professor of Statistics and Head of the Statistics Section at Imperial College London. He has published over twenty books on statistics, data mining, and related areas, 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 a Fellow of the Royal Statistical Society and an Honorary Fellow of the Institute of Actuaries. He was awarded the Thomas L. Saaty Prize for Applied Advances in the Mathematical and Management Sciences in 2001, the Royal Statistical Society's Guy Medal in Silver in 2002, the IEEE International Conference on Data Mining award for Outstanding Contributions in 2004, and was elected Fellow of the British Academy in 2003. His research interests include classification methods, the fundamentals of statistics, machine learning, and data mining, and his applications interests include medicine and finance. He acts as a consultant to a wide range of organizations, including governments, banks, pharmaceutical companies, manufacturing industry, and health service providers.

Dr. Michael Hardin is 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 80 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 150 abstracts presented at national meetings and has given over 75 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.

Glenn Hofmann is currently the Analytics/CRM Manager at HSBC, conducting database marketing with a private label credit card program with ten million customers. Hofmann is primarily responsible for leading marketing strategy development, testing and execution based on precise statistical models and related segmentations at HSBC. Prior to this, Hofmann was an Associate Professor of Statistics at University of Concepcion in Chile. He received his Ph.D. in Statistics from Ohio State University in 1997, his M.S. in Statistics from OSU in 1994, and a B.S. in Mathematics from Technical University Chemnitz in 1991. Currently residing in Chicago, IL, Hofmann has 13 publications in various scientific journals and is the Associate Editor of Communications in Statistics.

Kevin G. Ikeda is Assistant Vice President, Program Manager for Science Applications International Corporation (SAIC). He has a twenty-year history of leading and delivering successful IT solutions, data warehouses, applications and software products. He also has first-hand experience in various entrepreneurial and marketing disciplines from a venture he co-founded in 1985. Mr. Ikeda holds both a Master's degree and Bachelor's degree in Electrical Engineering from Rensselaer Polytechnic Institute.

Mr. Ikeda has served as Program Manager and Technical Manager for five successful programs with SAIC customers. As Program Manager for the Total Force Data Warehouse (TFDW) program for the United States Marine Corps, Mr. Ikeda led the program to the initial successful delivery where three attempts by other companies failed, and four years of subsequent successful deliveries. TFDW is a personnel data warehouse implemented on a 3-terabyte Oracle 9i Real Applicationi Cluster system that uses SAS for development, analysis, and quality assurance, and SAS Enterprise Miner for data mining and predictive modeling. The Marine Corps has realized over 500% return on investment from TFDW by improving assignment efficiency, and overall planning accuracy. TFDW is the official system of record for Congressionally-mandated personnel reporting in the Department of Defense.

Robert H. Jenkins is currently the Group Leader of the Global Consulting and Data Product Innovation Groups at Little Rock-based Acxiom Corporation. Acxiom is the world leader in Information Management. Acxiom Global Consulting assists clients with customer information management strategy, process transformation and technology implementation. Acxiom Data Product Innovation designs, develops and commercializes new data products for the marketplace. Jenkins is responsible for strategy, management and overall success.

Prior to joining Acxiom Jenkins was Program Director of Process Transformation at Sprint Corporation, a $30 Billion telecommunications company, and Andersen where he was Manager of Business Consulting. While are Andersen, Jenkins led the Midwest region's Cost and Performance Management practice responsible for overall implementation success and quality assurance across all industries.

Prior to that, he was Senior Consultant with Ernst and Young in the Special Services Group focused on Corporate Finance, Valuation, Restructuring and Reorganization and Litigation Analytics. Prior to joining Ernst and Young, Jenkins was with KPMG where he was Auditor, and Sprint Corporation where he was an Auditor.

Jenkins graduated from the University of Missouri with a Bachelor of Science in Accounting and a Master of Science in Accounting. Rob is a has successfully completed the Certified Public Accountant, Certified Management Accountant, Certified in Financial Management and Chartered Financial Analyst - Level I exams.

Dmitri Kuznetsov is Senior Brand Analyst at Media Planning Group. He develops advanced mathematical, econometrical, and statistical predictive models for MPG clients. Prior to this, Dmitri worked for Sigma Marketing Group as a Senior Statistical Consultant in expert team, specializing in marketing, retail pricing, risk, and financial data analysis, research, forecasting, and optimization of decisions. Before Sigma, Dmitri worked for KSS Group, a professional software company in the UK, as a Senior Scientific Developer of advanced retail pricing algorithms. Prior to KSS Dmitri was a Quantitative Business Analyst at Giant Eagle, where he developed in-house models on risks, marketing and price optimizations for revenue and profit management.

Dmitri received both his Ph.D. and Master's Degree in Mathematics and Physics from Moscow State University in Moscow and has worked as principal researcher on several initiatives with the NATO, International Science Foundation, Russian Foundation for Basic Research, and US Civilian Research Development Foundation. His academic experience also includes research at University of Pittsburgh in Pennsylvania and University of Waterloo in Canada.

Choudur K. Lakshminarayan, Ph.D. is a mathematical statistician in the customer knowledge management and analytics group at Hewlett Packard. His interests are in the areas of statistical pattern recognition, data mining, text mining, and web mining. Prior to joining HP, he was at Texas Instruments and Motorola. Concurrently Lakshminarayan taught at the Universities of Texas at Arlington/Dallas as an adjunct faculty. He also taught at the Indian Institute of Information Technology, Bangalore as a professor of applied statistics and computer science. He served as a consultant to industry in North America and India. He is in the process of developing a data mining course for the popular business knowledge series by the SAS Institute. Lakshminarayan has published several articles in international journals and conferences such as Technometrics, Communications in statistics, Journal of statistical simulation and computation, IEEE transactions, Lecture notes in Computer Science and others. He has several patents pending in the area of stat istical sampling and web mining. He has conducted workshops in statistical pattern recognition and data mining. He has just completed a book on statistics in data mining to be published by McGraw Hill. He serves as a reviewer for several journals and conferences.

Kim Larsen is a senior statistician in the Data Mining and Statistical Analysis group at Charles Schwab & Co., in San Francisco. His focus is on client segmentation as well as predictive modeling to reduce client attrition and maximize campaign response rates. Prior to joining Schwab, Kim worked in home equity credit risk management.

Kim holds a BS in mathematics and economics and an MS in statistics.

Allen Kenneth Lynch, Associate Professor of Economics and Quantitative Analysis, earned a bachelor's degree at the University of North Florida and his master's and doctorate degrees at Florida State University. He has taught at the University of North Florida and worked as a Senior Demographic Research Analyst for Blockbuster Entertainment Group prior to joining the Mercer University faculty in 2000.

In his four years with Mercer University, Lynch has twice been named the Stetson School of Business and Economics' Distinguished Professor. He has published numerous journal articles, ranging from "Identifying the NCAA Tournament Dance Card," a statistical model which accurately predicted 94 percent of college basketball teams that earned at-large bids for the NCAA tournament over the last 10 years (coauthored by B. Jay Coleman of the University of North Florida), to "Proximity, Neighborhood and the Efficacy of Exclusion," recently published in Urban Studies (coauthored by David W. Rasmussen). While research related to crime and real estate markets dominate his research agenda, interest in the NCAA article resulted in substantial media attention. Over the last two years, stories related to this research appeared in The New York Times, Investors' Business Daily, The Wall Street Journal, as well as several Associated Press outlets.

Kasindra Maharaj has been a key member of Decision Systems, Synovate's team of statisticians, since January 2001. She is also the head of Synovate's Data Mining Practice. Kasindra consults on research design and analysis and expertly handles many of the most analytically challenging projects across various industries and for large global clients in the financial sector, telecommunications, automotive, healthcare, fast moving consumer goods, etc. in which Synovate engages.

Kasindra has a B.S. in Mathematics/Statistics and a M.S. in Statistics from the University of the West Indies. Additionally, she has completed over 20 courses and seminars in data mining techniques and applications, advanced statistics, and programming. She also presents papers at data mining conferences. Kasindra has particular interest and extensive expertise in complex segmentations that utilize data from multiple sources, much to the benefit of clients in the many industries for whom she has done them.

In his 15 years of experience in applying statistical and machine learning technologies to solving business problems, Brij has created innovative data mining solutions for many industries including telecommunications, financial services, supply chain management, e-commerce and intelligent text processing. His current interests include applying data mining to enable strategic business decision making.

Brij is regarded as an expert in the areas of text mining and web usage mining and has authored several research articles on data mining in general. He co-founded the WEBKDD workshops at SIG-KDD and has helped organize and lead them since '99. He has three patents in the area of text mining and data mining. He has an MS in EECS from MIT. Examples of recent projects include:

• Forecasting in telecom and financial services: Application of survival analysis to produce
  • a long range accurate (18 months) churn forecast for a major wireless provider
  • accurate estimates of remaining lifetime estimates for individual subscribers to help estimate future expected life time value of customers.
  • quantitatively relating customer satisfaction to customer value.
• Automated Modeling and predicting cellular churn on a national basis in more than 20 major markets for a major wireless provider
• Validating and resolving ambiguities in strategic web metrics for a major online ecommerce engine.
• Modeling repeat visitor behavior for an on-line yellow pages services to identify demographic segments
• Building an intelligent agent for ranking news by relevance in real time and detecting concepts and classifying news stories for a major newspaper publisher
• Detecting interesting changes or deviations in customer data for a major credit card company
• A machine learning based intelligent agent for financial services used for comparing similar financial instruments.

Debbie Megee has over 26 years experience in direct marketing. Prior to joining DSA, she was Vice President at AEGON Direct Marketing Services (ADMS) where she focused on statistical modeling, database marketing and campaign management while managing direct mail and telemarketing execution. Before being acquired by AEGON, ADMS was JCPenney Direct Marketing Services. While at JCPenney she developed the 7 terabyte database system which contains well over 100 million customers, supporting name selection processes for direct marketing insurance and membership products. She also started the Target Marketing department which provides statistical modeling and customer analytics utilizing the expansive data available on the marketing database. She was instrumental in developing advanced data-driven marketing applications including customer lifetime value, offer optimization and strategic segments.

In her roles at both JCPenney and AEGON, Debbie worked with clients such as Discover, Citibank, Chase, Capital One and many other large financial and retail institutions in the United States, Canada, Asia, Europe and Australia.

She has been a speaker at industry conferences and serves on the Board of Trustees for the Direct Marketing Education Foundation.

David Montgomery has over 10 years experience using SAS for advanced analytics. Currently he serves as Senior Vice President of Marketing Analytics for Poindexter Systems Inc., an online marketing firm located in New York City. He is responsible for creating the firms real time, audience based, predictive modeling ASP solution using many of the SAS advanced analytics components and Visual Studio .NET 2003. His interests are in web based automation of machine learning techniques to solve real time business problems and the integration of business intelligence with advanced analytics.

Prior to joining Poindexter Systems, he served as the Director of Information Systems at Hawaii Health Medical Association (Blue Cross\Blue Shield) and was responsible for Business Intelligence and member and physician profiling. He also took a year off from graduate studies in economics to serve as Economic Advisor to the Federated States of Micronesia.

He received his undergraduate degree from the University of South Florida and did his graduate work in economics at the University of Hawaii at Manoa.

Roosevelt C. Mosley, Jr. is a Consultant with Pinnacle Actuarial Resources, Inc. in the Bloomington, Illinois, office. He holds a Bachelor of Science degree in actuarial science and a Bachelor of Science degree in statistics from the University of Michigan in Ann Arbor. He has worked in the insurance industry since 1994. Mr. Mosley is a Fellow of the Casualty Actuarial Society and a member of the American Academy of Actuaries. He currently serves the CAS as a member of the Committee on Professionalism Education, a member of the Joint CAS/SOA Committee on Minority Recruiting, and a participant in the CAS University Liaison program. Mr. Mosley has also been very active in the issues regarding the use of credit in underwriting and rating personal lines insurance. Mr. Mosley has evaluated the effects of credit for a number of insurers, and has also developed custom insurance scores for companies. Before joining Pinnacle, Mr. Mosley was employed as a pricing actuary for State Farm Mutual Automobil e Insurance Company, and by Vesta Insurance Group, where he was the personal lines manager responsible for homeowner and private passenger automobile ratemaking and products. He has experience in the areas of personal lines ratemaking, including California auto sequential analysis filings and profitability analysis for private passenger automobile and homeowners insurance; underwriting and tiering plan design and evaluation; multivariate analysis of insurance risk data; insurance legislation pricing and analysis; evaluation of books of business for acquisition; rate filing and regulatory compliance; competitive analysis; reserving; catastrophe modeling, litigation support and financial modeling.

Jerry L. Oglesby holds a Ph.D. in Statistics from Texas A&M University, 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 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

Justin Petty has over seven years of experience in the predictive modeling and statistical analysis field, working on a variety of database marketing, CRM, and data mining projects in the financial services, retail, telecommunications, utilities and hospitality industries. Justin has worked on projects spanning the customer lifecycle such as acquisition, cross-sell/up-sell, reacquisition/reactivation and retention.

Beyond traditional predictive modeling projects, Justin has developed marketing ROI forecast models, predictive clustering segmentation tools and up-sell offer optimization logic. Thinking outside of traditional modeling allows Justin to deliver useable results for clients when other methods would not work.

Justin began working for Equifax in 1997 as a Statistician and moved to the role of Consultant in 1999. As a Statistician, Justin learned the fundamentals of developing predictive models. His role as Consultant allowed him to take that understanding to clients to help them implement more effective ways to market and manage their products.

He joined SRI Analytics in 2003 as a Consultant and moved to the role of Engagement Director in 2004. Currently, Justin manages the relationship with many of Aspen's clients as a Director of Analytics; he is the team lead for analysis projects for those clients. Justin received his M.S. in Statistics from the University of Kentucky. Prior to that he attended Samford University and earned his B.S. in Mathematics and Geography.

Randy Rose is a Principal with Computer Sciences Corporation's (CSC) Federal Consulting Practice. He co-founded the Resource and Inventory Optimization (RIO) methodology with Nick Ferens and was instrumental in establishing the RIO partnership with SAS. Randy focuses primarily on leading Performance Based Management engagements with civil and Intelligence Community agencies. Prior to CSC, Randy worked for Booz Allen Hamilton, Progressive Insurance, the Colorado Rockies Baseball Club and the United States Attorney's Office. Randy has a Doctorate of Jurisprudence and a Masters of Business Administration from Drake University, a Bachelor of Science in Economics from Marquette University and is currently enrolled in the University of Pennsylvania Wharton School's Executive Education program. Randy is currently an Adjunct Professor of Management at the University of Virginia.

C. Olivia Parr-Rud is an internationally known speaker and author of Data Mining Cookbook (Wiley 2001). She has over 23 years experience in marketing with a 14-year emphasis in data mining and statistical analysis for a variety of industries. Using her blend of analytic skills and creative talents, Olivia provides direction and training for her clients in the areas of acquisition, retention, risk and overall profitability.

In partnership with SIGMA Marketing, OLIVIAGroup offers a combination of services designed to allow companies to maximize their database marketing potential through strategic consulting, predictive modelling and data mining.

Through years of working with management teams to implement data mining solutions, Olivia sees a strong need to offer more comprehensive services. To that end, she is a pursuing a Ph.D. in Human and Organizational Development at Fielding Graduate University. She is looking to expand her offerings in the areas of coaching, communication training, change management, team building and leadership development.

Olivia is an instructor for SAS Institute in the Business Knowledge Series. She teaches a 2-day course based on her book, "Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management (Wiley 2001)", now available in 4 languages.

Olivia also serves as faculty member for Data University, an online university that features experienced database marketing professionals who provide one-on-one training worldwide via the Internet. She has just completed a home study course in predictive modeling with SAS.

Olivia has held senior management positions at Fleet Bank, National Liberty Insurance and Providian Bancorp. She has a BA in Mathematics from Gettysburg College and an MS in Decision and Information Systems, with a concentration in statistics, from Arizona State University.

Photo by Carole Drong, Pfizer Creative Services

David Salsburg is the author of three academic books and The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century, a popular science book that has been published in hard-cover and paperback editions in the United States and has been printed in Chinese, Korean, Arabic, and Japanese editions. He is a fellow of the American Statistical Association and is known for his contributions to pharmacology, toxicology, clinical research, operations research, and the philosophy of science.

Dr. Salsburg has taught at the University of Pennsylvania, the University of Connecticut, Connecticut College, the Harvard School of Public Health, and Yale University. He spent 27 years at Pfizer Central Research, Pfizer Inc. He was the first statistician hired by Pfizer's department of clinical research and retired at the highest level of the company's scientific ladder. He was recognized with a lifetime achievement award by the Pharmaceutical Research and Development Association.

He has watched computers develop from the 1960's to the present day. The first computer he used had a total memory of 16K, and he became skilled at writing programs that overlaid arrays of data to save memory. As computers increased in sophistication, he became adept at using DEC tapes and punched cards. He brings to the modern world of data mining a bag of such useless skills but considerable, and painfully developed, experience with the vagaries of real data.

Gregory Smith, vice-president for information technology and chief information officer, joined WWF in January 2001. Previously, he was with the American Association of Retired People (AARP) in Washington, D.C., where he directed software development, e-business, and business intelligence activities. Prior to joining AARP, Mr. Smith was with Sallie Mae, where he directed automation for the Corporate Finance Division and two subsidiaries, and also was a principal consultant in the Management Consulting Solutions group at PriceWaterhouseCoopers LLP. He has published several articles, including "Talking at the Top of the World" in CIO Magazine, along with a variety of technology topics in eWeek and LAN Times. Mr. Smith received a B.S. in Computer Science from the University of Maryland and an M.S. in Business from The Johns Hopkins University, where he serves as an adjunct faculty member in the School of Professional Studies in Business and Education, Graduate Programs.

Joe Somma is a Senior Consultant for Knowledge Mining at Sigma Marketing. In this role, Joe manages a team of statisticians and programmers servicing the company's financial, health care and entertainment client base. The team provides data mining and warehouse development services and consulting engagements have included the development of a commercial banking warehouse, segmentation systems for small business lending, screening protocol for telecommunications and retention models for casino operations.

Prior to joining Sigma Marketing, Joe was the Vice President and Director of Data Mining and Market Research for HSBC bank. In this role Joe designed and managed data mining and data warehouse projects for the company's North American banking activity; developed database marketing applications for retail, commercial, and investment banking activities; coordinate market research for bank's North American markets, including brand research, product development and customer satisfaction; built custom segmentation programs for retail, commercial and brokerage markets; and managed quantitative and qualitative research projects.

Before HSBC, Joe served as the Vice President and Director for Database Marketing and Summit Bancorp where he developed direct marketing programs for retail and investment customers; developed and implemented database marketing strategies for retail, commercial, and investment banking; and provided statistical consulting services to various departments.

Joe holds three degrees from Rutgers University: a Master of Business in Marketing and Statistics, a Masters of Arts in Sociology, and a Bachelor of Arts degree in Sociology and Statistics. He also holds certificates in Applied Data Mining from Central Connecticut University and a Certificate in Advanced Statistics from Drexel University.

Thomas Thomaidis is the Senior Data Mining Analyst at Loyalty Management UK, the company responsible for Nectar, the UK's largest loyalty scheme. The Nectar program is a coalition of 17 leading brands spanning among others the grocery, telecommunications, fuel, financial and automotive industries.

Thomas joined Loyalty Management in the first month of their launch in 2002 and since that time has developed several customer segmentation schemes including the current Communications Segmentation used by the business to tailor all own-branded customer campaigns. He has built diverse models for acquisition, churn, programme performance measurement and campaign ROI improvement, while also developing a custom segmentation and campaign selection tool in a SAS environment.

Prior to joining LMUK, Thomas worked as a Credit Risk analyst for Providian National Bank in London after graduating from the Industrial Engineering and Operations Research department at the University of California, Berkeley and also holds an undergraduate degree in Fluid Mechanics from Cambridge University.

Dr. Bhavani Thuraisingham has recently joined The University of Texas at Dallas as a Professor of Computer Science and Director of the Cyber Security Research Center in the Erik Jonsson School of Engineering. She is a Fellow of the IEEE (Institute for Electrical and Electronics Engineers) and AAAS (American Association for the Advancement of Science). She received IEEE Computer Society's prestigious 1997 Technical Achievement Award for "outstanding and innovative contributions to secure data management."

Thuraisingham's research in information security and information management has resulted in over 60 journal articles, over 200 refereed conference papers, and three US patents. She is the author of seven books in data management, data mining and data security including one on data mining for counter-terrorism. She has given over 25 keynote presentations at various research conferences and has also given invited talks at the White House Office of Science and Technology Policy and at the United Nations on Data Mining for counter-terrorism. She serves (or has served) on editorial boards of top research journals.

Prior to joining UTD, Thuraisingham was an IPA (Intergovernmental Personnel Act) at the National Science Foundation from the MITRE Corporation. At NSF she established the Data and Applications Security Program and co-founded the Cyber Trust theme and was involved in inter-agency activities in data mining for counter-terrorism. She has been at MITRE since January 1989 and has worked in MITRE's Information Security Center and was later a department head in Data and Information Management as well as Chief Scientist in Data Management. She has served as an expert consultant in information security and data management to the Department of Defense, the Department of Treasury and the Intelligence Community for over 10 years. Thuraisingham's industry experience includes six years of research and development at Control Data Corporation and Honeywell Inc. Thuraisingham was educated in the United Kingdom both at the University of Bristol and at the University of Wales.

John Wallace is a principal consultant and founder of Business Researchers, Inc. He has a track record at applying data mining techniques to business problems. His work has included designing applications to analyze customer profitability, customer loyalty, product profitability and product quality. He has worked as an analytical consultant at SAS Institute as well as a Business Intelligence analyst at UUNET.

His consulting experience has included working for clients in the automotive, ISP, grocery, wireless, retail, PC/server and consumer software industries. He has successfully managed application development teams, created system architecture, developed new analytical methodologies and estimated complex models. He has leveraged techniques including text mining, response modeling, segmentation and survival data mining. He holds an MBA in Decision Science from the George Washington University.

Terry Woodfield is a Statistical Services Specialist in the Education Division of SAS Institute, Inc. and served as co-chair for M2003, SAS' 6th annual data mining conference. Dr. Woodfield has more than 28 years of SAS programming experience and has provided training and mentoring services in the areas of statistical forecasting, predictive modeling, and data mining. At SAS, Dr. Woodfield has developed courses in statistical forecasting, Web mining, and text mining. He is also active in the statistics profession, presenting papers at numerous statistical conferences and professional meetings, and he has served on steering committees in data mining and forecasting. He has helped develop forecasting and predictive modeling solutions for insurance, energy, and retail companies and been an expert witness in utility ratemaking hearings. Before joining SAS, Dr. Woodfield was Chief Statistician at HNC Software and other prior experience includes statistical software development in SAS/ETS Research and Development and university teaching and research.

Stacy Yehle is a Senior Consumer Research Analyst at Hallmark Cards, Inc. Stacy earned a BS in Mathematics from The University of Texas - Austin and a MS in Marketing Research from The University of Texas - Arlington. She has been with Hallmark for five years. In her current position, Stacy has been using data mining techniques for targeted marketing and consumer analytics for Hallmark's Gold Crown Card loyalty program.