The following are confirmed speakers for Analytics 2012. This page is updated often so please check it regularly.
, Colpatria/Scotia Bank
, National Science Foundation
, Manheim Auctions
, Modern Analytics
, University of Connecticut
, Accident Fund Insurance Company of America
, Python Predictions
, ING Belgium
, BBVA Compass
, Cleveland State University
, Mu Sigma
, Bank of America
, Southern Company
Andres Felipe Gonzalez
, Banco Colpatria
, Chico's FAS
, SunTrust Bank
, Dow Chemical Company
, Health Data Essentials
, GE Capital
, University of Alabama
, University of North Carolina at Greensboro
, PQC International
, Capital Analytics Inc.
, State Farm Insurance
, Destiny Corporation
, KAPS Group, LLC
, BBVA Bancomer
, InterContinental Hotels Group
, Vision Systems & Technology Inc.
, Sam's Club
, National Science Foundation
, Chubb Insurance
, Platform Computing
, Ultimate Software
, Blue Cross Blue Shield of North Carolina
, Kennesaw State University
, Z Solutions
, Chubb Insurance
is a Statistical Models Analyst at Colpatria/Scotia Bank in Bogota, Colombia. His major areas of expertise are credit risk, financial econometrics, data mining and machine learning. Recently, in Orlando, FL, he presented a contributed paper during the 2012 SAS Global Forum. His paper was about the use of parallel computing to improve the performance of genetic algorithms for the selection of the architecture of a neural network applied to credit scoring. Amézquita holds a BS and MS in economics from Universidad de los Andes (Colombia).
Paul G. Arnest
is a software architect with Compuware Corp. working in support of the National Center for Science and Engineering Statistics (NCSES) at the National Science Foundation (www.nsf.gov/statistics). Arnest has been involved with the Center's Scientists and Engineers Statistical Data System (SESTAT), a Web tool based on SAS, since its inception in 1995. He spent several years as a program manager in the effort that transitioned the National Science Foundation to 100 percent paperless, online grant application and management. He has also worked in the electronic and database publishing field. Arnest has a Master of Science degree in software engineering and an MBA, both from the University of Maryland, University College, and a bachelor's degree from Columbia College of Columbia University in New York.
T. Glenn Bailey
is the Senior Director of Operations Research at Manheim Consulting, the research and analysis unit of Manheim Auctions. Bailey's areas of responsibilities include customer segmentation; market forecasts, analyses and optimization; and internal support for industrywide publications such as the Manheim Market Report and Used Car Index. He has held a variety of OR technical and leadership positions in industry, government, academia and private consulting over a 20-year career, with a special emphasis in the successful application of prescriptive analytics using simulation and optimization methods. Bailey received his doctorate from the University of Texas at Austin, an MSOR from the Air Force Institute of Technology, and a bachelor's degree from the United States Air Force Academy.
is a Senior Analytical Consultant with Modern Analytics Inc., an industry leader and solution provider in data processing automation, business intelligence, advanced forecasting and predictive modeling.
Bettinger delivers state-of-the-art professional services to clients by applying the latest data mining techniques, statistical analyses, and knowledge transfer to business problems and analytical projects. He is a solution specialist whose many projects span multiple industries such as direct marketing, finance, insurance and manufacturing. Examples of his work include writing a near-real-time fraud detection system based on SAS for credit card transactions and an analysis of the effect of variable-margin pricing on page rank order for search engine optimization.
Bettinger has been a professional SAS user for more than 20 years, contributing numerous SAS macros for the benefit of the SAS community, publishing technical articles, and lecturing on data mining algorithms and techniques. His diverse academic background is one of his strengths. He has master's degrees in systems engineering from UCLA, business statistics from the University of Wisconsin, Madison, and electrical engineering from Northeastern University. Bettinger's expertise in computer science and his creativity in algorithmic thinking contribute to his success in solving complex business problems for his clients.
is an Associate Professor in the School of Business, University of Connecticut. He also serves as the Assistant Department Head of Operations and Information Management. He has previously served as the Executive Director of MBA Programs in the School of Business. His current research interests include information systems economics, e-business, digital goods and markets, data analytics in IT and operations, and closed-loop supply chains. He serves as an Associate Editor for Information Systems Research
, guest Associate Editor for MIS Quarterly
and Decision Sciences Journal
, and in program committees of various other conferences and workshops. He has extensive research consulting experience with Fortune 100 firms on data-driven decision making in IT and operations. His research has appeared in premier journals such as Management Science
, INFORMS Journal on Computing
, Journal of Business
, Journal of Law and Economics
, Journal of Management Information Systems
, IEEE Transactions
, and other leading peer-reviewed journals and conference proceedings. His research has been highlighted in various media outlets such as Connecticut Public Television, Bloomberg Businessweek
, Washington Post
, San Francisco Chronicle
, Der Spiegel
, Christian Science Monitor
, slashdot.org, Business 2.0 Web Guide, and others.
is an associate predictive modeler at Accident Fund Insurance Company of America, a mono-line workers' compensation provider. Throughout his financial services career, Biagi has specialized in prediction ? across marketing, originations and credit risk, and for wholesale, retail, and mid-market banking. Currently, Biagi focuses on helping adjusters improve predictive triage.
is a software developer in the Economics Technology R&D group working on the SAS High-Performance Forecasting product. He has 36 years of experience in software development with 24 years at SAS. His formal degrees are in mathematics and operations research.
is Managing Partner at Python Predictions, a Belgian niche player with expertise in the domain of predictive analytics. He has 10 years of hands-on experience in different industries such as retail, mail order, telecom, banking, utilities and subscription services. More specifically, his interests lie in delivering highly performing yet interpretable predictions of future events in marketing, risk and operations.
In 2005, Buckinx obtained a PhD in applied economics at Ghent University, Belgium. His thesis is titled Using Predictive Modeling for Targeted Marketing in a Non-Contractual Retail Setting
. He has published different scientific studies in peer-reviewed journals, and has presented at a number of national and international business and academic conferences. Python Predictions was founded in April 2006, and is currently active in B2C and B2B retail and distribution, telco, utilities, financial services, fundraising and postal services.
is Head of Marketing Intelligence Business Analysts at ING Belgium, an analytical expert focusing on analyzing customer behavior. Burez joined ING Belgium in 2007 as a Customer Intelligence Analyst. ING Belgium is Belgium's fourth-largest retail bank, with a clear focus on serving its customers via direct channels. It has 2.2 million customers and a market share of 13 percent.
Burez has a master's in applied economics, a master's in marketing analysis and a PhD in applied economics at Ghent University, Belgium. His thesis is titled Defining, predicting and preventing customer churn in contractual settings
. He has published different scientific studies in peer-reviewed A1 journals, and has presented his work at a number of international academic conferences.
was born in Czech Republic. Shortly after receiving a Master of Science degree in informatics from the Czech University of Life Sciences in 1994, he emigrated to the United States to pursue a career in economics and econometrics. He received a Master of Science degree in applied economics from Montana State University in 1996. In 2004, he graduated from North Carolina State University with an MS degree in applied statistics and a PhD in economics. He is currently a research econometrician at SAS. His research interests are in the area of econometric modeling, cross-sectional and panel data analysis, and high-performance computing.
has extensive retail experience, beginning with a diverse 27-year career at Kmart. He began his career gaining retail perspective while pushing shopping carts and stocking shelves. Accepting increasing levels of responsibility over a 27-year span, he advanced to Operations Manager and was promoted to Kmart headquarters in 1985. After several roles of increasing responsibility, he finished his time at Kmart as Director: Database Marketing and Information Systems.
Cox has also had extensive work with GE Money, beginning as Senior Manager CRM Analytics Leader for the Wal-Mart portfolio. Cox's most recent position within GE was Director of Global Retail Analytics, where he led the retail, loyalty management, credit card and Internet strategies.
Cox also managed the Consumer Insights and Analytics Department for Wal-Mart Financial Services.
He is currently the Senior Vice President for Consumer and Business Intelligence at BBVA Compass Bank.
Cox has an associate's degree in electrical engineering and a bachelor's degree (honors) in marketing management, with emphasis in computer sciences. He has lectured in many CRM and marketing conferences and seminars. Cox's book, Retail Analytics: The Secret Weapon
(SAS Publishing and John Wiley & Sons, 2011), covers in detail retail analytics from a global perspective.
is a senior executive in Accenture's Information Management and Architecture Innovation practices. Based in Denver, he leads Accenture's global big data practice.
Dell'Anno's background is in technology development and large-scale systems integration. His experience includes working with MPP platforms to deliver large-scale customer databases and using advanced analytics to deliver targeted customer interactions. Dell'Anno's work includes a patent for enhancing insight-driven customer interactions with an optimizing engine.
Dell'Anno has a bachelor's degree in economics from Dickinson College and an MBA in information management systems from the George Washington University School of Business.
Mark Dobeck, PhD
, is a faculty member of the Monte Ahuja College of Business at Cleveland State University. He earned the PhD degree from the University of Texas at Dallas. He also earned an MS in electrical engineering from Southern Methodist University and an MBA (finance concentration) from Cleveland State. Dobeck is also a faculty member in the Samson Global Leadership Academy at the Cleveland Clinic.
Prior to entering academia, Dobeck had more than 20 years of experience in banking and finance. Much of his experience has been international. He is recognized as an expert in enterprise risk management (primarily financial), financial derivative instruments, and securities trading operations.
Dobeck recently co-wrote the book Money
, which is part of the Greenwood Series on Business and Economics. He has published articles in leading academic journals and trade publications. In addition, he is a member of the Global Association of Risk Professionals and holds the Financial Risk Manager certification. His research interests include strategic management, enterprise risk management and business analytics.
is focusing his efforts at Mu Sigma on managing an agenda of rapidly implementing innovative analytics technology and statistical techniques into the Mu Sigma ecosystem, as well as Fortune 500 organizations.
In the recent past, Zubin has served as Vice President of Emerging Technology and Vice President of Decision Sciences for InterContinental Hotels Group. He has more than 18 years of direct experience in applying quantitative methods to extract value from corporate data assets. His past experience includes creating and driving the global management of the data warehouse, applied business intelligence, analytics/advanced analytics, and market research departments at IHG. Prior to IHG, he served as the Statistical Modeling Manager at United Parcel Service, primarily applying statistical models to enhance shareholder value at the world's largest transportation company. Zubin received his BSBA in finance from the University of Florida and an MA in economics, specializing in econometrics, from the University of South Carolina in 1993.
Zubin has written many articles on analytics that have appeared in select industry publications. He is also an experienced speaker and has presented at many industry conferences.
is a Director at Deloitte Consulting in Hartford, CT. Duden specializes in Risk Management and Safety Management Systems. He has more than 20 years of risk management and safety solutions experience, including exposure tracking, incident reporting, quality assurance, policy development, claims management, health information management, analytical reporting and self-service portals.
During his 16 years with Deloitte, Duden has provided strategic advice services to numerous clients focused on integrating process with technology. He has implemented rules-based systems, data reporting tools, and data capture tools for the collection and analysis of safety- and health-related information. He led the project for the first Global Health Management Information Survey. He is leading the development of Safety Analytics, which utilizes data in a unique way to reduce accidents.
Duden holds a Bachelor of Arts degree in economics from the University of Nebraska, with an emphasis on risk management and safety.
draws on more than 15 years of statistical modeling experience to ensure a streamlined, data-driven approach to decision making. With Bank of America since 2002, she led the development and launch of a value matrix EBI-based platform, which has transformed the way her financial partners access data, forecast driver curves and control the valuation process. Recent endeavors include redeveloping the new account valuation and forecasting process for the Credit Card Division. Dunn's success with rebuilding this process on the EBI platform has propelled her into a new labor of love: partnering with her IT division to overhaul the BI infrastructure.
is Chief Analytics Officer for Teradata's global alliance programs, providing insight on trends in the advanced analytics space and helping clients understand how Teradata and its analytic partners can support their efforts. In addition, Franks is a faculty member of the International Institute for Analytics and the author of the book Taming the Big Data Tidal Wave
(John Wiley & Sons Inc., April 2012). He is also an active speaker and blogger. Franks' focus has always been to help translate complex analytics into terms that business users can understand and to then help an organization implement the results effectively within their processes. His work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small nonprofit organizations. You can learn more about Franks at bill-franks.com
is a Data Modeling Analyst with customer analytics at Southern Company. She led a large project that created and implemented a predictive behavioral model to decide how to prioritize customers to pursue in the final collections process. She works with customer service, marketing and sales organizations with behavior analysis, marketing campaigns, usage analysis and other data mining projects. Gilmore holds a BBA in management information systems from the University of Georgia and an MS in advanced analytics from North Carolina State University.
Andres F. Gonzalez
is a Statistical Models and Analytics Director at Colpatria/Scotia Bank in Bogota, Colombia. Recently, he was an invited speaker at the SAS Global Forum 2012 and also presented a paper at the IEEE data mining workshop in 2011. At SAS Global Forum 2011 he presented a paper about the use of genetic algorithms to optimize the architecture of a multilayer perceptron neural network and won the award as the best contributed paper for data mining and text analytics. Gonzalez has extensive experience in all aspects of data mining and has solved many challenges in different fields of his organization, such as credit risk management and customer relationship management. Also, he has experience using leading statistical software, including SAS, SPSS and R. He has a BS in industrial engineering from the Universidad de los Andes in Colombia and an MS in industrial engineering with a major in operations research and statistics, from the same university.
joined SAS in May 2012 as a Senior Solutions Architect for the Retail and Manufacturing business unit. Grabowski focuses on delivering analytical solutions to the automotive industry, including time series forecasting, business intelligence and credit scoring solution design. He also helps clients understand how SAS solutions can be successfully integrated within other existing technologies to meet business objectives. Grabowksi spent 12 years with Ford Motor and Ford Credit, where he developed employee analytic skillsets and evaluated SAS product offerings. His work culminated in February 2011 by being named the manager of the newly created Ford Credit/SAS Analytic Center of Excellence (COE). Grabowski holds an MA in economics from Michigan State University and a BS in economics from Oakland University. He is a SAS Certified Advanced Programmer and helped write the SAS Certified Business Statistical Analyst exam.
is a Senior Database Analyst at Chico's FAS in Fort Myers, FL. He specializes in data integration, reporting and analysis, and has been using SAS software for more than 23 years. In the two years since he joined Chico's, he has worked on several integration projects and has been key in assisting users of the SAS CRM analytics database. Prior to Chico's, Grasso worked in the transportation industry streamlining a marketing analytics database to quickly and efficiently respond to business needs and to identify and react to attrition. He received his bachelor's in computer science from John Carroll University.
is a Senior Manager in Accenture's Management Consulting CRM practice. She a global consulting expert focusing on statistical modeling, data mining and marketing analytics. Lan has spent her last eight years at Accenture predominantly working in the telecom and retail industry. As an experienced marketing professional, she brings in-depth knowledge and hands-on experience with transforming customer data into actionable strategies and plans to maximize market opportunities through enhanced marketing efforts. She specializes in data integration, data mining and statistical modeling. A seasoned user of SAS for more than 15 years, she has done an array of analytics projects featuring customer segmentation and profiling, target marketing, predictive modeling and data warehousing. Lan was an invited speaker at the global Data Mining 2010 conference. She also spoke to analytics and IT professionals about best practices of analytics centers of excellence at the Era of Empowerment conference in
2011. Lan earned a master's degree in applied statistics from the University of Michigan in Ann Arbor and a master's degree in econometrics from Wayne State University as part of its PhD program.
Involved in data mining and modeling since 1995, Dudley Gwaltney
has been with SunTrust Bank, a Top 10 financial institution, for the past 11 years. Currently he manages the Analytical Modeling group within the Client Information Group.
With a background on both the consulting and client side, Gwaltney has extensive experience in a wide array of data mining areas, including predictive modeling, segmentation, program analysis, design, implementation and maintenance of data marts, as well as software development. The majority of his career has been focused on the financial services industry.
Using data mining and statistical analysis, Gwaltney works with SunTrust's Marketing and Product Management departments to improve overall performance by enhancing existing programs and creating new ones.
He serves on the Industry Advisory Board for the Institute for Advanced Analytics at North Carolina State University. Gwaltney received degrees from North Carolina State University in business management, economics and computer science.
serves in Product Analytics at Autotrader.com. His responsibilities include tracking and modeling consumer site activity as well as dealer product performance. He uses a statistical approach to answering inquiries about interactions on the consumer and dealer fronts. He previously worked in marketing analytics, where he focused on creating segmentation schemas and targeting models for product campaign efforts, and built Web dashboards to communicate where traffic was flowing on the Web site.
Hamby is an honors graduate from Kennesaw State University, where he earned a Bachelor of Science in mathematics and a Master of Science in applied statistics.
is the Enterprise Marketing Director for Big Data as part of Intel's Data Center and Connected Systems Group. He is responsible for strategic and outward-bound marketing programs for analytics, big data and business intelligence. He has a personal passion for education and knowledge on database evolution and how to connect people and digital products for improved business and lifestyle efficiencies. He currently represents Intel on the Board of Advisors for the International Institute of Analytics.
Tao Hong, PhD
, is an Industry Consultant at SAS, where he leads the forecasting area of the utilities business unit. His major areas of expertise are in forecasting and optimization. Hong has applied various statistical and optimization techniques to the development of algorithms and tools for utility applications of analytics, such as energy forecasting, power system planning, renewable integration, reliability planning and risk management, etc. He has been providing consulting services to numerous large and medium utilities in the Americas, EMEA and AP. Hong currently serves as the Founding Chair of the IEEE Working Group on Energy Forecasting, where he leads the efforts of improving the forecasting practice of the utility industry. Hong is an adjunct instructor at North Carolina State University, teaching load forecasting and demand response-related topics in both the Electrical and Computer Engineering department and Advanced Analytics Institute. He also teaches the SAS Business Knowledge Series
course Electric Load Forecasting: Fundamentals and Best Practices. Hong received his B.Eng. in automation from Tsinghua University, Beijing; and a master's in EE, a master's with co-majors in OR and IE, and a PhD with co-majors in OR and EE from North Carolina State University.
joined SAS in 2007 as a Senior Product Manager with responsibility for SAS time series and forecasting solutions, including SAS/ETS, SAS High-Performance Forecasting and SAS Forecast Server. She holds a PhD in economics from Princeton University, as well as degrees from Oxford University and the University of Texas. In her academic career prior to joining SAS, John held professorial positions at Princeton University, Stanford University and the University of California at Berkeley; she also served as a senior statistician at HP and as an international consultant in statistical demography.
is an Advanced Analytics Leader in the Advanced Analytics Group at The Dow Chemical Company in Freeport, TX. He is an internationally recognized expert in applying advanced analytics and computational intelligence in industry. Kordon has successfully applied advanced analytics solutions in a variety of business problems, including forecasting, business cycles analysis, price elasticity analysis, and fraud detection in auditing. His interests include application issues of computational intelligence, robust empirical modeling, and integrating data mining in forecasting. He has published more than 70 papers and 11 book chapters on applied computational intelligence and advanced analytics. His most recent publications are the book, Applying Computational Intelligence
, published by Springer, and the upcoming co-authored book, Applied Data Mining for Forecasting
, published by SAS Press. Kordon is a member of the Technical Committee on Evolutionary Computation of IEEE
Computational Intelligence Society.
Kordon holds a master's degree in electrical engineering from the Technical University of Varna, Bulgaria, and a doctorate in electrical engineering from the Technical University of Sofia, Bulgaria.
is a Senior Analytical Consultant at SAS, where he is part of the Global Forecasting Solutions practice. His major area of expertise is in deploying forecasting and other analytical solutions at customer sites. He has applied modeling techniques to estimate future demand of decision-support variables such as electric load, retail sales and labor requirements. Lai has provided consulting services to a number of large retail, CPG and hospitality customers in the US. His responsibilities on customer engagements include forecasting analytics, technical architecture, data integration and project leadership. During Lai's 10 years at SAS, he has also implemented risk and compliance solutions at utilities and financial institutions. His background includes experience with a number of SAS solutions such as SAS Forecast Server, SAS Risk Dimensions and SAS Anti-Money Laundering. Prior to joining SAS, Lai spent 10 years in the financial industry where he was Vice President of Market Risk for
New York-based Société Générale and Manager for New York-based Deloitte. He received his bachelor's and master's degrees in aeronautics and astronautics from the Massachusetts Institute of Technology.
is the President and CEO of Health Data Essentials. He is one of the nation's leading experts in financial modeling, quality measurement and risk adjustment in the managed care industry. Lieberman has an in-depth understanding of complex Medicare/Medicaid policies and contracting activities, which he utilizes in quality improvement, provider profiling, revenue management, provider reimbursement strategies, and information systems design. His mission is to improve quality and ensure accurate payment for risk-adjusted managed care plans.
With his grasp of the technological, financial, policy and medical issues involved in risk adjustment, Lieberman helps managed care organizations use their data to optimize revenue and improve patient outcomes. He has been a visionary in understanding the post-Affordable Care Act Medicare world - including the creation of the comprehensive EssentialStars tool.
Lieberman has been actively involved in the development of risk adjustment systems for more than 15 years. Lieberman holds a Bachelor of Arts degree in political science from the State University of New York at Albany. At the graduate level, he has studied biostatistics, epidemiology and public policy analysis and health policy at George Washington University, the University of Maryland, and the Johns Hopkins School of Public Health.
has 15 years of financial services experience with companies such as JPMorgan Chase, MetLife and GE Capital. At JPMorgan Chase, Liebskind worked in Credit Cards, Retail Banking and Small Business in areas such as decision sciences, database marketing and online analytics. At MetLife, he worked in the Strategic Market Development group supporting B2B.
At GE Capital, Liebskind was formerly the Customer Retention Leader and Analytics Leader for GE Canada. He is now the Retail Analytics Leader supporting GE's retail credit card portfolios. He has led the development of segmentation and predictive models for 10 different countries as well as identifying actionable customer insights to grow sales and profitability.
Liebskind has a BS from Penn State University and an MBA from Pace University in New York City.
is a member of the SAS High-Performance Analytics Practice, where he currently serves as a Principal Technical Architect. Livermore is located in the Minneapolis SAS office where he assists customers (internal and external) with pre-sales support in technology strategy, architecture design, software presentations and implementation guidance of SAS solutions. In addition to pre-sales support, Livermore works collaboratively with customers to provide technical guidance and vision creation for post-sale optimization of SAS solutions.
Livermore has more than 20 years of experience working with SAS, both as a customer and as an employee. Since joining SAS in 1997, his responsibilities have ranged from pre-sales support to technical management. Livermore has extensive experience in numerous industries during his tenure at SAS, including banking, insurance, retail, government (federal and state/local), health care/life sciences, manufacturing, and others. Livermore has also had multiple years of experience working in the retail and health care industries prior to joining SAS.
Livermore specializes in SAS Enterprise Data Integration, SAS Enterprise Business Intelligence, SAS advanced analytics (SAS Enterprise Miner, SAS Forecast Server and model lifecycle management via SAS Model Manager) and SAS High-Performance Analytics (in-database deployment and execution of predictive models).
Jeff Livermore holds a BA degree in statistics.
Denise Johnson McManus, PhD
, is the Director of the Institute of Business Analytics, James C. Lee Jr. Faculty Fellow and an Associate Professor of Information Systems, Statistics and Management Science in the Culverhouse College of Commerce at The University of Alabama. Prior to embarking on her academic career, McManus gained 12 years of professional experience through the development and delivery of information technology at three Fortune 100 companies (Motorola, Boeing and IBM). She has 10 years of academic experience with research interests, journal publications, conference proceedings and presentations focused in the areas of business analytics, information technology, telecommunications, crisis recovery, knowledge management and health information systems. McManus co-chairs the annual Business Analytics Symposium at The University of Alabama. The symposium provides an excellent opportunity for participants to interact with practitioners, faculty and students while presenting and discussing
business analytics topics such as SAS, applications of predictive models, business analytic methods and corporate/academic partnerships. McManus also teaches an annual International Business Analytics/SAS Study Abroad Program at universities such as University College Dublin in Dublin, Ireland and Ghent University in Ghent, Belgium. She holds a PhD and MBA from Auburn University as well as a BSBA from UA Huntsville.
is a Senior Manager in the analytics practice of Deloitte Financial Advisory Services LLP. He has seven years of experience in anti-money laundering analytics at large financial institutions as well as a broad background in financial services analysis, such as investigating allegations of forward trading, evaluating 10(b)5 Securities Litigation damages, and segmenting customers for promotional marketing, among others. Monson has demonstrated proficiency in dissecting large data sets, developing algorithms, and conducting statistically based analyses and forecasting.
Monson has extensive experience in a wide variety of industries, including financial services, telecommunications, transportation, health care and energy. He holds a Bachelor of Arts in economics from Northwestern University and a Masters of Science from the London School of Economics. Monson is based in Chicago.
is Head of Portfolio Analytics, Risk Management and leads the team that will deliver advanced status to Kiwibank. His team includes quantitative analysts and industry specialists that model and implement origination and portfolio risk, capital methodology, and risk workflow - within a multivendor environment that has SAS at its core. Morgan and his team have extensive experience in regulatory and economic capital, collective provisioning, probability of default and loss given default modeling, price modelling, stress testing, and portfolio risk reporting and analytics.
Hamid Nemati, PhD
, is an associate professor of information systems in the Department of Information Systems and Operations Management at the University of North Carolina at Greensboro. He holds a PhD in information technology and management sciences. He is the Editor-in-Chief of the International Journal of Information Security and Privacy
and the Editor-in-Chief of the Advances in Information Security and Privacy book series. He is also founder and President of Nemati Enterprises, a business intelligence consultancy firm. He has extensive professional experience in various analyst positions and has consulted for a number of major organizations. He specializes in the areas of decision support systems, data warehousing, data mining, and information privacy and security. He has presented numerous research and scholarly papers nationally and internationally. His articles have appeared in a number of premier professional and scholarly journals.
manages the Advanced Analytics and Optimization Services (AAOS) group at SAS, where he has directed projects in operations research and optimization applications in a variety of industries. AAOS projects deliver consulting expertise to SAS customers in the field of OR and related technologies (revenue management, inventory optimization, generic optimization and simulation). A sample of AAOS projects includes optimal scheduling for ATM cash replenishment, portfolio optimization in government, revenue management in various industries, retail inventory replenishment and pricing, chemical mixture portfolio optimization in CPG, optimal assignment of delinquent loan processing, and simulation for drug discovery. The AAOS is also engaged in internal SAS R&D projects, including optimization for data mining. Oliveira has an MS and PhD from MIT.
is a Principal Operations Research Specialist in the OR Center of Excellence at SAS. This center is part of the Advanced Analytics team and works closely with the various SAS industry teams to create and design solutions for business challenges, ensuring that the SAS/OR« tools effectively support their business needs.
Oosten joined SAS in 2010 with more than 15 years of experience designing and implementing revenue management and pricing optimization systems. He has been involved in various large-scale pricing optimization projects across different industries including distribution, manufacturing, express shipping, cargo, as well as travel and transportation. He has one patent pending for discrete pricing strategy optimization with former colleagues. Oosten is an active member of the INFORMS Section of Revenue Management and Pricing, and he is currently on the editorial board of the Journal of Revenue and Pricing Management
Oosten has a PhD in mathematics from the University of Maastricht (Netherlands) and a master's degree in econometrics from the University of Groningen (Netherlands). He has been a visiting assistant professor at the Graduate School of Industrial Administration (GSIA) at the Business School of Carnegie Mellon University and was a post-doctoral fellow at the University of British Columbia.
is the Senior Director of HR Business Analytics and Budgeting, supporting the Walmart US People group, which includes store and nonstore HR operations, talent development, compensation, associate innovation and HR strategy. She is recognized as a leader and an analytics visionary in the HR organization.
Ormanidou studied agricultural economics and continued with graduate studies in statistics and transportation and logistics, all at the University of Arkansas. She began her career at Walmart in the Sam's Club Division as a Member Trends Analyst in 2004. In 2006, Ormanidou was promoted to Senior Pricing Manager supporting the Technology and Office segment. She is an active participant in Walmart's advocacy for diversity and inclusion. Within Walmart, she is a member and volunteer for several associate resource groups. She serves on the Board of Directors for CASA of Northwest Arkansas, oversees membership for the NWA Chapter of the Network of Executive Women, and strongly supports the Foundation Fighting Blindness. Ormanidou maintains a strong partnership with the University of Arkansas, where she taught business intelligence as an adjunct instructor at the Walton College of Business.
is an internationally recognized Project Management Evangelist and a sought-after project management and business speaker, facilitator, executive coach and author. He is known globally as a "serial entrepreneur" and philanthropist, founding and leading more than 10 growing and profitable companies, as well as several outreach programs under the We Care Foundation. He is the author of more than 15 books, has 27 products to his credit, and is constantly asked to speak at Fortune 500 firms.
He has more than 20 years of field-tested experience from Procter & Gamble and as a US Army Combat Commander. He also has hands-on experience on hundreds of projects worth more than $6.5 billion, across 12 countries, in fields such as construction, engineering, information technology, human resources, manufacturing and process improvement.
Payne is the Chairman of PQC International, a strategic global consulting firm focused on changing the world "one mind at a time." He holds a BS in mechanical engineering from Tuskegee Institute; master certificates in project management and IT project management from George Washington University; and two MBAs from the University of Phoenix. He is also a Certified Project Management Professional (PMP) and has completed several executive education programs.
As co-founder and CEO, Gene Pease
brings a seasoned business perspective to Capital Analytics, helping to translate our breakthrough statistical methodology into services that bridge the gap between people investments and business results. Pease is the co-author of Human Capital Analytics: How to Harness the Potential of Your Organization's Greatest Asset
and a sought-after thought leader and presenter at industry events. Pease has more than 25 years of experience as a CEO. Under his leadership, Capital Analytics has been recognized by Bersin and Associates as a 2012 Bersin Learning Leader, by Gartner as an "On the Rise Vendor" and in the 2009 and 2011 Hype Cycle for Human Capital Management and by the ROI Institute as having the Best Innovative Approach to ROI. Capital Analytics has helped clients such as National Grid, ConAgra Foods and Chrysler win CLO Learning in Practice awards in the Business Impact category. Pease earned his MBA with honors in entrepreneur and venture management from
the University of Southern California. He holds a Bachelor of Fine Arts in Architecture from the University of Cincinnati. Pease currently holds a town council position with the city of Chapel Hill, NC.
has worked in health care information systems for almost 25 years, and has been a SAS user and developer since 1985. He currently leads Data Science, Solutions and Strategy for UnitedHealthcare, a UnitedHealth Group company with $95 billion in 2011 revenue. Pitts is the architect of the methodology that enabled UnitedHealthcare to build a comprehensive data warehousing, business intelligence and advanced analytics solution in just a few months with SAS technology. Recognized with the UnitedHealthcare Innovations Award, the solution enables wide-ranging analytics and informatics supporting UnitedHealthcare's industry leadership in serving millions of beneficiaries with outstanding, cost-effective health care. Pitts holds a BS and master's in accounting from the University of Florida, and is currently pursuing a Master of Science in statistics from Texas A&M University. He is a Certified Management Accountant (CMA) and Certified Internal Auditor (CIA), and has taught college courses in
management accounting and business decision making.
Matt Porritt, PhD
, earned his doctorate in applied behavior analysis, a concentration within psychology focused on the objective measurement and analysis of behavior. He has applied his skills in many analytical and scientific areas including behavioral pharmacology, experimental psychology, human resources analytics, organizational behavior management, marketing analytics and Web analytics. Porritt is responsible for analyzing visitor behavior patterns across all AutoTrader Group (Kelley Blue Book, AutoTrader, VinSolutions) Web properties to better understand how people research and make purchase decisions.
is a Program Director of Analytics for State Farm Insurance in Bloomington, IL. In this role, he leads a team of advanced analytics professionals providing statistical analysis and predictive modeling support for the enterprise across a variety of business units, including P&C Actuary, P&C Underwriting, Claims, and Enterprise Internet Solutions. Pulkstenis has more than a decade of experience improving business strategies with designed multivariate experiments.
Pulkstenis received his MS degree in statistics from Penn State, and holds a BA in mathematics (statistics minor) from Messiah College. He has spent nearly 20 years in applied business analytics with Trilogy Consulting, Capital One and now State Farm Insurance. When not working, he enjoys spending time with his family, hockey and football.
, IT Principal of Destiny Corporation, a recognized authority on systems design and architecture with a heavy concentration on best practices in the world of SAS. Rafiee has written and taught more than 65 courses in SAS software, including SAS Enterprise BI and SAS Enterprise Data Integration topics.
is currently the Chief Knowledge Architect and founder of KAPS Group, a group of knowledge architecture, taxonomy and text analytics consultants.
Reamy has 20 years of experience in information architecture, enterprise search, intranet management and consulting, education software, and text analytics consulting.
Reamy's academic background includes a master's degree in the history of ideas, research in artificial intelligence and cognitive science, and a strong background in philosophy, particularly epistemology. He has published articles in various journals and is a frequent speaker at knowledge management conferences.
When not writing or developing KM projects, he can usually be found at the bottom of the ocean in Carmel taking photos of strange creatures.
Robert N. Rodriguez
joined SAS in 1983 and is a Senior Director in SAS Research and Development with responsibility for the development of statistical software, including SAS/STAT and SAS/QC. He received his PhD in statistics from the University of North Carolina at Chapel Hill and worked as a research statistician at General Motors Research Laboratories before joining SAS. Rodriguez is a Fellow of the American Statistical Association and the 2012 President of the ASA.
has applied mathematics and computing engineer degrees from Instituto Tecnológico Autónomo de México (ITAM). He also completed coursework toward the Data Mining Tools for Decision Support Diploma at ITAM, as well as courses on advanced mathematics at the University of New Brunswick at Fredericton as part of the AARMS' programs. For the past year, Sanchez has been working at BBVA Bancomer as a Data Mining consultant for Customer Knowledge and has developed processes and models for analyzing customer insight from satisfaction surveys and other channels.
leads the Revenue Management and Price Optimization group at SAS, which is part of the Advanced Analytics Division. Sanli works closely with the IDeaS revenue optimization solution team, and supervises research and development of forecasting and optimization techniques to support revenue management and price optimization. He actively participates in customer engagements, presentations, proofs of concept and analytical and technical support for implementation teams during customer engagements. Sanli has been with SAS since 1998. He has supervised the optimization team for the SAS Markdown Optimization and SAS Inventory Optimization solutions, and designed and developed algorithms for price optimization, inventory replenishment and supply chain management. He has two patents for SAS Markdown Optimization with colleagues at SAS. Sanli has a PhD in operations research from the University of North Carolina at Chapel Hill, an MS in operations research from Columbia University and a BS in
industrial engineering from Bogaziši University in Istanbul, Turkey. Sanli was a visiting professor at UNC several times, teaching courses in statistical inference, regression, decision analysis and mixed linear-integer programming.
is Director of BI and Analytics for InterContinental Hotels Group. He is responsible for advanced analytics related to campaign optimization, customer and property scoring, performance analysis, and the IT analytics agenda. He holds a PhD from the University of Texas at Austin and an MBA from Georgia Tech. He has published and presented in several academic journals and conferences. Before joining IHG, he served on the faculties of the University of Georgia and the University of Cincinnati.
has been at SAS for more than 10 years in several customer-facing roles. He was in charge of field enablement in the area of analytics globally and acted as a trusted adviser for EMEA sales opportunities in the area of advanced analytics in general and statistical forecasting in particular. As a member of the R&D Advanced Analytics and Optimization Services team at SAS headquarters in Cary, NC, Sglavo is now tasked with addressing customer challenges in the area of large-scale automatic forecasting.
Sglavo received his diploma in mathematics from the University of Applied Sciences in Darmstadt, Germany. Prior to SAS he was employed by IMOS Consulting in Karlsruhe, Germany, as Director of the Business Analytics Unit and as a Senior Consultant. Sglavo is also a member of the practitioner advisory board of Foresight
magazine, published by the International Institute of Forecasters.
is a Decision Support Consultant in the Enterprise Informatics division of Highmark. She is responsible for developing forecasts and predictive models for many health services divisions, including medical management, retail marketing and consumerism. She holds a BS in computer science from Shippensburg University, an MBA from Frostburg State University, and a graduate certificate in business data mining from Oklahoma State University.
Dr. Gerhard Svolba
is a senior solutions architect and analytic expert at SAS Austria, where he specializes in analytics in different business and research domains. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across industries. He is the author of Data Preparation for Analytics Using SAS
and teaches a SAS training course entitled "Building Analytic Data Marts."
is an award-winning Senior Software Engineer at Vision Systems & Technology Inc., a subsidiary of SAS. He specializes in R&D prototypes, integrating diverse technological innovations into new software designs. His interests include automated reasoning, knowledge representation, information visualization, social media and geographic systems. He has developed numerous prototypes that blend innovative visualizations, current semantic techniques and data fusion. In addition to research efforts, he has developed and integrated numerous innovative designs into operational systems, particularly in the government and intelligence communities.
Swing is the lead developer for Luminary, which blends semantic analysis, text extraction, and knowledge representation techniques. He also created the Prajna Project, an open-source Java toolkit that blends semantics and visualization into a cohesive framework for knowledge representation and comprehension. He won awards from IEEE for his innovative tools for visual analysis, and his work has been featured in IEEE Computer Graphics & Applications
. He has a master's degree from Johns Hopkins University, and a bachelor's degree from Rice University.
is a 15-year veteran of SAS and a Senior Systems Engineer who supports the Bank of America account. In 2010, he partnered with Jessica Dunn, who was leading the crusade to create an optimal platform for SAS software. The dynamic duo has worked with various IT teams, executives and SAS users to solve problems for the bank and maximize the ROI value of SAS. His current project with Jessica Dunn involves meeting OCC regulatory requirements and improving the forecasting methodology, which manages an annual $250 million marketing budget for US Consumer credit cards.
is the Manager of Predictive Analytics Product Management at SAS. He is described as one of the early pioneers of business predictive analytics and is a globally renowned presenter, teacher, practitioner and innovator in the field of predictive analytics technology. He has worked alongside the world's biggest and most challenging organizations to help them harness analytics to build high-performing organizations. Over the course of his 20-year tenure at SAS, he has been credited with bringing to market landmark SAS analytics technologies (SAS Text Miner, Credit Scoring for SAS Enterprise Miner, SAS Model Manager, SAS Rapid Predictive Modeler, SAS Scoring Accelerator for Teradata, and SAS Analytics Accelerator for Teradata). His current initiatives include easy-to-use self-service data mining tools for business analysts, decision management and massively parallel high-performance analytics.
Thompson received his doctorate and master's from the University of Tennessee in 1992 and 1987, respectively. During his PhD program, he was also a visiting scientist at the Institut Superieur.
is the Senior Director of Analytics for Global Customer Insights at Walmart. He develops platforms and competencies in data integration and knowledge management, customer and member behavior, marketing effectiveness, and advanced modeling for the Walmart and Sam's Club stores and websites.
Thorpe has a bachelor's in chemical engineering and a masters and PhD in statistics, all from the University of Minnesota; his research focused on industrial statistics. He spent 10 years at W.L. Gore and Associates (Gore-Tex«) where he developed divisional revenue forecasting models, designed experiments to increase product performance across many Gore Products, and identified attributes that Human Resources used to increase employee engagement.
Thorpe then joined Wachovia as a Senior Vice President, concentrating on generating customer insight from the huge amounts of data and information that Wachovia collected. Concurrently, Thorpe was the project lead on Wachovia's innovation team, which led to a $20 million investment in an Innovation Center that allowed the bank's lines of business to collaborate on top innovation projects. Thorpe's work on modeling Wachovia's marketing ROI was published in The Harvard Business Review
in its best practices area and was awarded the 2006 Peppers and Rogers Group Impact Award in Customer Strategy. Thorpe also personally received a 1to1 Customer Champion Award for this work.
Nguyen Tu Tran
is a senior developer with Compuware, supporting SESTAT and NCSES' data systems. He has spent more than 15 years writing software in the aerospace, telecommunications and government sectors, the last six supporting NCSES' statistical systems. At NCSES, Tran has contributed algorithms and code in Java, Flex and C, as well as SAS code. His expertise is in SAS, object-oriented languages, Java and C++, and Web development. He has a bachelor's degree in computer science from Concordia University in Montreal.
currently is the predictive modeling manager for Chubb Personal Lines, where he develops predictive models to support pricing and underwriting decisions for the home and auto lines of insurance. Prior to his current role, Travisano served as the Marketing Analytics and Modeling Manager within the Commercial Strategic Marketing Division at Chubb, where he built models supporting cross-sell, up-sell, retention, market share and new customer acquisition. He has more than 10 years of experience in data mining and predictive modeling. He holds an MS in statistics from Rutgers University and a BS in economics from Elon University.
is Vice President of Product and Services Marketing for Teradata Corporation. He is responsible for marketing Teradata products and services, as well as overseeing technical field sales support teams. Twogood has 25 years of experience in the computer industry, specializing in data warehousing, decision support, customer management and appliance platforms. He started his career with NCR in retail point of sale solutions (POS) and then moved to AT&T to manage channel development and strategic partners. At Teradata, Twogood has had roles that span strategy, application definition, marketing, product requirements/management, platform solutions and product marketing. Twogood has a bachelor's degree from California State University at Long Beach with an emphasis in marketing. He lives in San Diego.
is Director of HPC Cloud and Analytics Marketing at Platform Computing, an IBM company. He is an experienced technology and marketing executive with more than 15 years of experience in enterprise data center technologies, including hands-on software development, product management and marketing experience in virtualization, cloud computing, security and Java EE middleware. Before joining Platform Computing, he was the Director of Sun Microsystems' Cloud Services Business Unit and, most recently, the head of Oracle University marketing. He has been a speaker at numerous JavaONE and other technical conferences and published papers in IEEE and other journals. He is also the author of two US patents for Java and Internet technologies.
SAS is the largest privately held software company in the world and is recognized as the leader in enterprise business analytics - data quality, data integration, business intelligence and analytic solutions. With more than 800 partners in the portfolio, Scott VanValkenburgh
leads the organization that is responsible for SAS' global partner relationships. His teams are responsible for SAS partner go-to-market strategies and execution.
Prior to joining SAS, VanValkenburgh was the founder and Managing Partner of The Sequoia Architecture Group, a venture capital business consultancy based in New York City. Previous to this role, VanValkenburgh served as a Principal for PricewaterhouseCoopers within its Management Consulting Services Practice's Information and Technology Practice. While at PwC, VanValkenburgh helped Fortune 500 corporations create, develop, evaluate, and implement ERP, CRM and client/server strategies and solutions. While at PricewaterhouseCoopers, VanValkenburgh created and led The Zone, PwC's global industry solution center that created more than $450 million in new business development revenue for the firm during its first year of operation.
is the Principal Statistician and Data Scientist for Ultimate Software, a software-as-a-service (SaaS) provider of human capital management solutions, and the No. 25 US employer in Fortune's annual 100 Best Companies to Work For list. He is responsible for developing analytic products, including pioneering the use of predictive analytics for managing people. Prior to joining Ultimate Software, VanWieren was a Vice President of Strategic Data Analytics and Data Quality at Equifax, where he created and developed multiple analytical, data quality and governance functions. VanWieren is an expert on data integration, data privacy and using data in innovative ways to solve customer problems.
Daryl Wansink, PhD
, has 16 years of experience in the health insurance industry, the last four with Blue Cross Blue Shield of North Carolina as the Director of Healthcare Research and Evaluation. His work encompasses both the evaluation of health management programs and the segmentation strategy to engage patients in the programs. Wansink provides analytic support for the design and implementation of provider quality and efficiency programs, such as pay for performance, tiering and quality recognition. He also studies the impact of benefit design on health behavior. He uses statistical modeling as an essential tool to quantify, understand and predict the complex health care system.
has many years of experience designing, building and leading complex software engineering and analytic projects. He currently serves as an Analytic Engineer with SAS' Center for IT Analytics and is an expert with SAS' enterprise BI environment. Woodruff has a bachelor's in computer science from North Carolina State University and an MBA from East Carolina University; he resides in Windermere, FL.
Daniel J. Yanosky, PhD
, is an Assistant Professor of Statistics. He has been teaching at KSU since August 2007 after graduating with his doctorate from the University of Georgia. His teaching specializations include statistical computing, multivariate statistics, and categorical data analysis. His research interests involve production-level modeling, data mining techniques, multivariate methods and Monte Carlo simulations. His applied research revolves around analyses of human subjects data in diverse disciplines such as marketing, business, psychology, biomedical research and education. Yanosky is a Certified Base and Advanced SAS Programmer.
is the Senior Director of Analytic Consulting at Epsilon. He joined Epsilon in 2000 and is responsible for client analytic consulting and analytic product development. He is passionate about creating and implementing analytical solutions designed to meet Epsilon's customer marketing needs. Zajonc has managed and created thousands of models, profiles and custom analytic projects for clients across a variety of industries spanning his more than 20 years in database marketing. Prior to joining Epsilon, Zajonc managed Time Inc.'s corporate database marketing team. He has a bachelor's degree in mathematics and linguistics from University of Toronto and an MBA in finance from NYU's Stern School of Business.
is the President of Z Solutions Inc., a firm focused on supporting organizations through predictive analytics and exploratory data analysis. His primary interests and research address the problems that organizations face in improving their business decisions through data analysis, exploratory data analysis, neural networks, predictive analytics, and selling those results. Zeanah has consulted with industry leaders in manufacturing, retail, public health, science, finance, nutrition and utilities.
Zeanah has developed exploratory approaches and techniques that have been used by Fortune 500 companies, independent researchers, government agencies and more than 30 universities worldwide. His practice has been in areas as diverse as sizing electric transformers (for which he holds a US patent), market research, fraud detection, health systems and wine making. In addition to delivering the Business Knowledge Series course that he developed, Zeanah is also a contract instructor for SAS, and he serves on the board of the Institute for Business Intelligence at The University of Alabama.
is working for Chubb, and currently serves as a Marketing Analytics and Modeling Manager within the Commercial Strategic Marketing Division at Chubb world headquarters in New Jersey. His role is to develop targeting/segmentation schemes and create optimal targeting strategies by combining the drivers of customers' behaviors and their motivations with the factors of market dynamics. He also develops custom empirical models for market trends, market share, product development, partnership deals, cross-sell, up-sell, acquisition strategies and customer retention to enhance and improve current business strategies for maximum profitability. He has been using SAS for more than 20 years, and has published and spoken several times at SAS users groups and SAS Global Forum in the last two decades.