, Vanderbilt University
, University of Tennessee
, University of Cincinnati
, Oklahoma State University
, The Walt Disney Company
, Irish Revenue
, The Walt Disney Company
, The Walt Disney Company
, University of Alabama
, University of North Texas
, The Walt Disney Company
, Cox Communications
, Rogers Corporation
, Cleveland Clinic
, West Business Solutions
, Tiger Analytics
, The Walt Disney Company
, Carolinas HealthCare System
, USAID (Bridgeborn Inc.)
, RWE npower
, Southern Company
, Independent Writer
, Bryant University
, University of Tennessee
John C. Parker
, AT&T Mobility
Carlos Andre Reis Pinheiro
, Katholieke Universiteit Leuven
Jennifer Lewis Priestley
, Kennesaw State University
, State Farm Insurance
, Institute for Advanced Analytics
, Talent Analytics
, Highmark Health Services
, University of Illinois at Urbana-Champaign
, University of Alabama
, Ford Motor Credit Company
, Blue Cross Blue Shield North Carolina
, Corios LLC
, T-Mobile USA
, The Walt Disney Company
, The Walt Disney Company
, Z Solutions, Inc.
, Carolinas HealthCare System
, MScN, RN, is Director of Emergency Services for a community hospital system in Connecticut and a part-time student in the Doctor of Nursing Practice program at Vanderbilt University. He has extensive experience in health systems leadership primarily in clinical operations and emergency services. Kevin has led several Emergency Department (ED) teams to measurable improvements in operational, clinical quality and financial outcomes. As an experienced ED nurse, he is driven by a desire to increase patient-care quality and to improve the work environment for nurses and physicians in the highly stressful environment of the ED. Kevin has previously conducted and published research regarding the effects of healthcare professionals' work environments on patient safety. Armstrong holds an MScN and BScN from the University of Western Ontario.
has 13 years of experience in marketing analytics, segmentation, data mining, measurement, forecasting, visualization and dashboards. Balme is currently a member of the OgilvyOne New York team, where she's the analytical lead for several clients and helps brands in all aspects of its consumer-focused CRM, including targeting, measurement, and campaign optimization.
Balme began her career with Ogilvy in its London office, where she provided consumer insight and analytical services to clients such as Unilever, British Telecom, Kimberly Clark, Cisco, and American Express. She holds a BSc (Hons) degree in statistics and is a fellow of the Royal Statistical Society.
Randy V. Bradley, PhD
, is an Assistant Professor of Information Systems and Supply Chain Management in the Department of Marketing and Supply Chain Management at The University of Tennessee, Knoxville. He has extensive professional industry and consulting experience, is a prolific author and an active public speaker. Bradley teaches executive-level courses that address information technology (IT) strategy and decision making, and the adoption and implementation of emerging technologies. His expertise is in the area of supply chain IT as it relates to enterprise architecture and IT strategy, and governance implications for supply chain performance. As part of his role as core faculty in the Center for Executive Education, Bradley is the lead content developer and lecturer of supply chain IT material. He has presented and spoken at numerous professional conferences and symposiums. Bradley's research has been published or is forthcoming in a number of outlets, including the Journal of Management
, Decision Sciences Journal
, MIS Quarterly Executive
, Information Systems Journal
, Journal of Information Technology
, and The Journal of Pediatric Pharmacology and Therapeutics
. Using his IT expertise and consulting experience, he advises numerous organizations on data analytics and the adoption, implementation, and use of IT.
Jeffrey D. Camm
is Head of the Department of Operations, Business Analytics and Information Systems and Director of the Center for Business Analytics in the Lindner College of Business at the University of Cincinnati. He has published four management science texts and more than 30 papers in applied optimization. Throughout his academic career, Dr. Camm has focused on the use of analytics for solving significant real problems. His work in supply chain optimization with Procter & Gamble was a 1996 Edelman Award Finalist and is credited with helping P&G save over $250 million annually in its North American supply chain. In 1998, his joint work on nature reserve site selection for efficient conservation was published in the journal Science and appeared in a brief to President Clinton. In 2006, he received the Rainmaker Award from DC Velocity magazine for his contributions to the practice of supply chain optimization.
Also known for excellence in the classroom, Professor Camm was named the Dornoff Fellow of Teaching Excellence at UC, and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as a consultant to numerous companies and government agencies and is principal of Z Star Analytics LLC.
Goutam Chakraborty, PhD
, is a professor of marketing at Oklahoma State University, where he has taught data mining and CRM applications, advanced data mining, database marketing, new product development, marketing research, digital business strategy, Web business strategy, electronic commerce, and interactive marketing and product and pricing management for the past 20 years. He has won many teaching awards, including the SAS Distinguished Professor Award, and is the founder of the SAS and OSU data mining and business analytics certificate programs. Chakraborty's research has been published in many scholarly journals, and he is co-author of the book Contemporary Database Marketing
. He has held managerial positions with subsidiaries of Union Carbide (US) and British American Tobacco (UK), and has also consulted extensively on issues related to developing digital business strategy, building and managing customer relationships, product development, and management and creation of e-business
He serves as a member of the SAS Customer Analytics Advisory Board and the JMP Discovery Summit Steering Committee. Chakraborty has a B.Tech in mechanical engineering from the Indian Institute of Technology, Kharagpur, a PGCGM from the Indian Institute of Management, Calcutta, an MS in statistics and a PhD in marketing, both from the University of Iowa.
is Senior Director in the Advanced Analytics R&D Division at SAS with responsibility for operations research. In addition to SAS/OR, his department provides support for customized algorithms that are used in other advanced analytics products, as well as SAS solutions for marketing optimization, inventory optimization, social network analysis and energy distribution optimization. His department recently added a services group that supports SAS customers with advanced OR modeling and algorithmic expertise. Prior to joining SAS in 2003, Chari spent over a decade in academia, with research and teaching interests in discrete mathematics and operations research. He has a PhD in operations research from UNC- Chapel Hill.
is currently the Marketing Decision Science Manager at Dell. Before this role, he spent time as a Marketing Research Consultant and a Credit Risk Consultant at Dell.
Hai D. Chu
is the Director of Decision Science in the Revenue Management and Analytics department for Walt Disney Parks and Resorts. Decision Science provides advanced analytical consultation, tools, and application building services throughout The Walt Disney Company. Chu holds a master's in mathematical sciences from Clemson University. Prior to joining Disney, he held positions at American Airlines Decision Technologies, Sabre Holding Inc., and Amazon.com.
is a research econometrician at SAS, where he is Senior Manager for SAS/ETS software. His research interests include econometric modeling, cross-sectional and panel data analysis, and high-performance computing. Chvosta earned a Master of Science degree in informatics from the Czech University of Life Sciences in 1994, after which he immigrated to the United States to pursue a career in economics and econometrics. He holds a Master of Science degree in applied economics from Montana State University and an MS in applied statistics and PhD in economics from North Carolina State University.
Dr. Duncan Cleary
is the Senior Statistician for Irish Revenue and is an internationally recognized thought leader in the use of advanced analytics in tax and customs administrations. He specializes in the use of research and analytics methodologies and their application in the Irish Tax and Customs Authority, including the use of predictive analytics, customer segmentation, risk analyses, large scale surveys, evidence-based decision support, social network analysis, real-time risk and hybrid analytics for risk. Duncan manages Revenue's Graduate Analytics Internship program, now in its fifth year. As well as gaining valuable experience and skills, the student and work-experience interns contribute directly to Revenue's research and analytics work by undertaking projects of real business value to Revenue.
is a Director in the Advanced Analytics R&D Division at SAS. He leads a team that provides the infrastructure for all high-performance analytics procedures. He is the developer of the HPREG procedure and the author of the GLMSELECT and LOESS procedures and the SAS/IML wavelet subroutines.
Cohen received his PhD in mathematics from the University of Minnesota and has been at SAS since 1996.
is a Decision Science Technical Manager at the Walt Disney Company. Ho holds a Ph.D. in statistics from North Carolina State University.
Anjali Dange, PhD
, is a Decision Science Manager in the Revenue Management and Analytics department for Walt Disney Parks and Resorts. She is currently responsible for driving revenue management science and analytics for companywide strategic projects. In her prior role, she was responsible for managing statistical analyses conducted to support revenue management and pricing solutions for several of Disney's lines of businesses. Prior to working for The Walt Disney Company, Dange spent eight years at General Motors Corporation holding various positions in the Market Research, Forecasting and Product Planning departments. Her latest position was at Adobe as Research Manager in the Research and Planning department.
Dr. Cali Davis
spent the past 10 years as the Senior Associate Director of Undergraduate Admissions at the University of Alabama. She used data mining and statistics in enrollment management to assist in recruitment efforts which resulted in a significant (138 percent) increase in the size of the freshmen class from 2003 to 2012. During her time in admissions, Cali also coordinated UA's specialized recruitment efforts, including the recruitment of students from Alabama and surrounding states, minority students and transfer students. Cali recently accepted a faculty position in the University of Alabama's Culverhouse College of Commerce teaching data mining courses at the graduate level. Cali was a Co-Chair for the 2013 Business Analytics Symposium and received the 2010 Outstanding Professional Award at the University of Alabama. Cali holds PhD and MS degrees in applied statistics from the University of Alabama.
is Director of Research and Development at SAS. He is responsible for development in SAS' global data mining solutions. This includes customer engagements, new feature development, technical support, sales support and product integration. He also has a new book on data mining and big data in the later stages of publication. Prior to joining SAS, Jared worked as a mathematical statistician for the US Census Bureau. He holds a MS degree in computational statistics from George Mason University.
is an Associate Professor with the Department of Information Technology and Decision Sciences at the University of North Texas. His research interests include statistics and text mining. Evangelopoulos has published a number of research articles that appear in prominent journals, as well as national and international conference proceedings. His publications include articles in MIS Quarterly, Communications of the ACM, Communications in Statistics Simulation & Computation, Computational Statistics & Data Analysis, as well as a book that is part of the Springer Briefs in Computer Science series. Evangelopoulos has taught a number of courses in business statistics, management science, advanced Java and object-oriented rogramming, and data mining. He is currently a member of the Decision Sciences Institute and a Fellow of the Texas Center for Digital Knowledge. Evangelopoulos has a doctorate from Washington State University.
is a Decision Science Consultant in the Revenue Management and Analytics department for Walt Disney Parks and Resorts. He is responsible for developing mathematical models, algorithms and computer simulators for revenue management. He also works on assignment and scheduling algorithms for operations. He holds a PhD in operations research from the University of Florida and has several academic publications. He is interested in optimization (dynamic, global and integer), simulation, machine learning and big data.
is Marketing Manager for SAS forecasting software and author of The Business Forecasting Deal
. Mike serves as Column Editor for Foresight: The International Journal of Applied Forecasting
and has published articles in Foresight
, Supply Chain Management Review
, Journal of Business Forecasting
, Supply Chain Forecasting Digest
, and APICS
magazine. Mike holds a BA in philosophy from Michigan State University and master's degrees in philosophy and mathematical sciences from Johns Hopkins University. You can follow his blog, The Business Forecasting Deal
is Vice President for Decision Support and Informatics at CareSource, a nonprofit Medicaid organization with almost 1 million members. He currently leads the analytic, BI and reporting efforts for the organization, with a focus on strong analytic efforts to guide the organization in its mission-driven focus. Bob has 30 years of experience in the fields of health care analytics, health care administration, actuarial science, underwriting and finance with major consulting organizations, large hospital systems, management companies and payers. Bob holds an MA degree from Bowling Green State University in applied geography with a focus on quantitative methodologies.
As a Senior Manager at Capgemini, Suresh Gopalakrishnan
manages the Risk and Analytics sub-practice within Financial Services for banking clients in North America. In this role, Suresh has led projects related to customer analytics, loss forecasting and stress testing models (for SCAP/DFAST/CCAR), FTP and RAROC models, model validation, etc., working with more than half a dozen financial institutions in the US. Suresh joined Capgemini after completing his MBA in finance from the Stern School of Business at New York University. He holds CFA, FRM, ERP and Six Sigma Champion certifications, in addition to MS and MPhil degrees in computer science from Rutgers University.
Gene Grabowski Jr.
joined SAS in May 2012 as a Senior Solutions Architect for the Retail and Manufacturing Business Unit. Gene's position focuses on delivering analytical solutions to the manufacturing industry. In particular, his tasks emphasize time series forecasting, predictive modeling and designing credit scoring solutions. Finally, his duties include how SAS solutions can be successfully integrated within other existing technologies to meet business objectives.
Having spent more than 12 years with Ford Motor and Ford Credit, Gene devoted considerable time to developing employee analytic skill sets and evaluating 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).
Gene holds an MA in economics from Michigan State University and a BS in economics from Oakland University. His almost 20 years of experience with SAS extends into a wide range of business activities and touches on all aspects of the SAS Business Analytics Framework. In June 2005 he became a SAS Certified Advanced Programmer and in March 2012 he helped write the SAS Certified Business Statistical Analyst exam.
is Executive Director of Marketing Analytics at Cox Communications. His focus is on developing creative analytic solutions that lead to measureable, lasting business value. Gripenstraw spends his free time thinking about analytics as well. Prior to joining Cox, he held analytics roles at Accenture, Aspen Marketing and Fair Isaac, and was the co-founder of Peak Data Solutions. He is a graduate of industrial engineering and political science from Stanford University.
is the lead Solutions Architect for Health and Life Sciences at Intel. He meets with enterprise organizations around the world to advise them on cloud computing, virtualization and healthcare security and privacy. Gough also works closely with industry partners and customers to design, develop and publish industry proof points that demonstrate the benefits of healthcare technologies based on standardized architectures.
Gough has been with Intel for 17 years and was formerly both product and security architect in Intel's Digital Health division. In this role, he was the chief architect for several products including, Care Connect, and Integration Services for the Intel Health Guide. Gough has been an active member of the Continua Health Alliance and was one of the lead contributors to the end-to-end system architecture and interoperability guidelines. He holds a BS in computer science from the University of California at San Diego.
Gough is a regular blogger for the Intel Healthcare Community and has recently published several whitepapers and case studies regarding advances in healthcare cloud computing.
is an executive in Accenture's Management Consulting practice. She is a global consulting expert focusing on statistical modeling, data mining and marketing analytics. Guan has spent her last 10 years at Accenture predominately working in the telecom and retail industry. As an experienced marketing professional, she has in-depth knowledge and hands-on experience with transforming customer data into useful strategies and plans to maximize market opportunities through enhanced marketing efforts. She specializes in data integration, data mining and statistical modeling. Guan has led an array of analytics projects featuring customer segmentation and profiling, target marketing, predictive modeling and data warehousing. Guan was an invited speaker at the global data mining conference in Las Vegas in 2010 and 2012. She has also spoken to analytics and IT professionals about best practices of analytics CoE at the Era of Empowerment conference in 2011. In addition, Guan has co-written the
management handbook, Selling Through Someone Else: How to Use Agile Sales Networks and Partners to Sell More
. Guan earned an advanced degree in applied statistics from the University of Michigan and a degree in econometrics from Wayne State University as part of its PhD program.
is a Market Development Specialist at Rogers Corporation, a supplier of high performance material solutions and technologies. In his professional marketing career he engages in numerous market research studies and supports the identification of new product applications through opportunity analysis. Hebert routinely employs statistical techniques and quantitative marketing methodologies to support data-driven decision making in a business environment. Hebert graduated with honors from Bryant University in Rhode Island, where he studied both marketing and applied statistics. A portion of his undergraduate studies were completed at Charles University in Czech Republic. In his academic career, he conducted research in the fields of business intelligence, market segmentation, and data mining. Hebert focused largely on statistical analysis topics using SAS Enterprise Miner. His background in business intelligence, statistics, and market research has greatly supported his professional
Eric Hixson, PhD
, MBA is the Director of Outcomes and Analytics in Business Intelligence at the Cleveland Clinic. He has 16 years of experience in the development and implementation of quality measurement and reporting initiatives, infrastructure development, and clinical registry implementation and operations.
Currently, Hixson is responsible for embedding predictive methodologies into the current BI infrastructure and developing appropriate analytics for operational reporting. He manages a comprehensive end-user training and education program for dashboards, Web applications and data marts; is expanding the development of short cycle quality measurement; and is co-director of the BI student internship program. Hixon also oversees health system participation in the University HealthSystem Consortium (UHC) and participates in a number of health services, outcomes, and clinical research-related activities.
He received his PhD in epidemiology and biostatistics from Case Western Reserve University and an MBA in health care administration from Cleveland State University.
is the Product Manager for SAS/OR, which includes software for optimization, simulation, scheduling, and other operations research analytic methods. He works closely with SAS/OR R&D to guide software development and also works regularly with our customers and salespeople to determine how SAS and SAS/OR can best address their needs. Hughes has worked for SAS and been involved with SAS/OR since 1986. He has an MS in operations research from the University of North Carolina at Chapel Hill and a BA in mathematics from Franklin & Marshall College. He was previously employed by The MITRE Corporation in McLean, VA, and by UNC-Chapel Hill.
oversees Neustar's analytics-focused professional services practice and research and development of new technologies through Neustar Labs. He has extensive experience in the use and application of predictive analytic solutions and platforms for real-time targeting and marketing applications. This includes development of analytic frameworks for consumer behavior targeting, audience creation and predictive analytics for both online and offline applications. Prior to Neustar, Ken served as Vice President of Analytics at Claritas and Assistant Professor of Economics at Claremont McKenna College.
is a Principal Research Statistician Developer at SAS. He works on research and development of forecasting and statistical modeling software. His current research interests are in loss distribution modeling, high-performance analytics, time series forecasting and data mining. Joshi has authored more than 25 peer-reviewed publications and has filed for or published five patents in the United States. He holds a Master of Technology degree in electrical engineering from the Indian Institute of Technology, Bombay, and MS and PhD degrees in computer science from University of Minnesota.
Dmitriy Khots, PhD
, is an advanced analytics professional with more than 10 years of experience across a broad spectrum of industries, including communications, finance, health care, government, and oil and gas. Khots is currently the Director of Analytic Insight at West Corp., where he oversees a group of high-caliber analysts who apply data mining and optimization techniques to solve businesses' hottest problems in B2B and B2C sales and collections, call center optimization, process control, and anomaly detection. Khots graduated from the University of Iowa with a PhD in mathematics, where he taught applications of mathematics to business and published work on mathematical theory of data mining. He received his double bachelor's degree in mathematics and business management, graduating with honors from the University of Iowa. Khots is a prolific writer, with two patents and more than 40 publications in theoretic and applied fields of mathematics, as well as data mining and statistics.
Khots is a member of American Mathematical Society and the Institute for Operations Research and the Management Sciences.
is a Global Decision Sciences Manager at Dell specializing in Investment Optimization. She works in measuring long-term impacts of difficult to measure influences such as brand campaigns, social media, corporate social responsibility and total quality management improvements. She is lead inventor on two patent-pending model techniques including an overall investment model and a brand health model.
In previous roles, she has worked in pricing analysis, promo management, Web analytics and financial planning.
She received her undergraduate degree in mathematics from Texas A&M and her MBA in marketing and finance from Southern Methodist University.
is the founder and CEO of Tiger Analytics, a boutique consulting company that focuses on applying advanced data analytics in the fields of retail management, online advertising and social media marketing. Prior to founding Tiger Analytics, Kumar was on the faculty at the University of Maryland's Smith School of Business and at Rutgers Business School. He has conducted research in the areas of data mining and statistical modeling and has successfully applied his research to solve problems related to forecasting, pricing, promotions and customer segmentation. He has extensive consulting experience with companies such as McKinsey & Company, SAS, JC Penney, Levi's, ProfitLogic, LucidMedia, Compass Labs, TTX and Predictix. Kumar holds a PhD in operations research from MIT, a post-doc in marketing from MIT Sloan, and a bachelor's degree in computer science from the Indian Institute of Technology, Mumbai.
is a Decision Science Consultant at the Walt Disney Company. He holds a Ph.D. in industrial engineering from the University of South Florida.
is a Senior Solutions Architect for SAS Business Analytics. He is responsible for empowering both sales and technical forces in the positioning and integration of the SAS System, as well as supporting SAS customers and prospects in his areas of expertise, which include business intelligence, advanced analytics and data mining.
Lara has more than 20 years of experience in statistics, data mining, information delivery, data warehousing and business intelligence solutions. He also plays an important role in SAS Latin America, where he supports SAS solutions for advanced analytics and data mining. Before coming to SAS, he held several positions at a large US telecommunication company, including Director of Advanced Analytics and Data Mining, and Principal Architect in Business Intelligence. He also has experience in financial services, education, pharmaceutics and environmental statistics.
Lara holds a bachelor's degree in mathematics from the Universidad Autonoma de Yucatan in Mexico, and a master's degree in statistics from Colorado State University in the US. He also completed the doctoral course work in statistics from CSU.
is the Senior Vice President of Analytical Insights at Market Share Partners, a leading marketing science firm based in Los Angeles. Prior to Market Share Partners, he worked for a Fortune 500 financial services institution. Larsen also teaches a class on net lift modeling in the SAS Business Knowledge Series. Throughout his professional career, he has worked on and managed a wide array of data mining and analytical problems, including price optimization, media mix optimization, demand forecasting, customer segmentation, and predictive modeling. Larsen frequently speaks at various data mining conferences around the world in the areas of segmentation and predictive modeling. His main areas of research include Bayesian regression, additive nonlinear modeling and net lift models (incremental lift models). Larsen holds a BS in mathematics and economics and an MS in statistics.
has worked in health care and advanced analytics on both the payer and provider sides of health care for 25 years. He also has experience in consulting, and developing and delivering analytic solutions to health care payers. Louder was a charter member of the SAS Health Care and Life Sciences practice. He joined Carolinas HealthCare System in 2013 to develop system metrics to reflect the sweeping changes in health care delivery and reimbursement, and to deploy analytic solutions to enhance patient outcomes and clinical efficiency. Louder earned bachelors' degrees in statistics, economics and business (insurance and finance), and an MBA in decision and information sciences from the University of Florida. Outside of work, he enjoys live music and Southeastern Conference athletics.
works for Bridgeborn Inc. on assignment at the US Agency for International Development. She has been the team lead for the Development Experience Clearinghouse for three years. Prior to that, she was the Classification Librarian for the Development Experience Clearinghouse working under the LAC Group. She also worked for three years at the International Monetary Fund as an indexer and taxonomist. As team lead for the Development Experience Clearinghouse, she has been overseeing the implementation of the SAS Enterprise Content Categorization solution.
is Director for Healthcare Analytics at CareSource, a nonprofit Medicaid organization with almost 1 million members. She currently leads the health care analytic efforts for the organization, with a focus on diagnostic and predictive analytics that maintains a strong practical sense of helping the organization achieve its mission-driven focus. Cathy has 20 years of experience in the fields of health care analytics, business process improvement, finance and IT within the health care, technology and banking industries. Cathy holds a BA degree in business from Capital University.
has worked for RWE npower, a leading UK gas and electricity supplier, since graduating with a degree in economics in 2006. Andy began his career at RWE npower working in position management, where he was responsible for the calculation of high-value retail hedges and reporting on contracted energy positions. He then moved to short-term forecasting, where he led a team of analysts responsible for providing industry-leading short-term power forecasts in order to minimize imbalance costs. More recently, Andy has been leading the forecast optimization team, with a primary focus on delivering industry-leading power and gas volume forecasting models and capabilities in order to deliver added value to the RWE npower business.
has worked in the electric energy industry for more than 30 years. He has experience in marketing, finance, pricing, costing and forecasting with Southern Company, which serves more than 4 million customers in the southeastern US. Nickerson's team provides marketing and customer service analytics to the four Southern Company regulated electric power subsidiaries in Alabama, Florida, Georgia and Mississippi. SAS is the group's primary analytics tool. Nickerson also spent 10 years working for an independent power producer that owned and operated plants in deregulated power markets in California, Texas, New York and New England. During his tenure there, he also did extensive work in the rates, cost of service and cost of capital areas as part of the team that filed Jamaica Public Service's inaugural five-year rate plan as a non-government regulated entity. He has a bachelor's in statistics and economics from Virginia Tech and an MBA from the University of Alabama at Birmingham.
is a professor of mathematics and computer information systems at Bryant University. He earned his PhD in management science from the University of Rhode Island and holds an MS in mathematics education and a BBA in public accounting from Hofstra University.
His research interests include statistics, management science and data mining. He has published articles on these topics in professional journals including the Journal of American Academy of Business, Journal of Mathematical Education in Science and Technology, European Journal of Operational Research, Interfaces, and Advances in Business and Management Forecasting. He is past president of the Rhode Island Chapter of the American Statistical Association and a member of the Northeast Decision Sciences Institute.
In addition to his research interests, Olinsky is committed to pedagogical issues at Bryant University as well as on a national scale. He currently teaches courses in data mining, statistical programming, multivariate statistics, spreadsheet modeling and management science. He also has appeared several times as an expert witness in statistical matters at hearings and trials.
As a Center for Executive Education (CEE) faculty member, Allen Pannell
is currently responsible for leading consulting projects for clients; teaching Black Belts in the University of Tennessee Executive Development Program; instructing executive MBA candidates in statistical methods for business decision making; and developing the analytics curriculum and programs for the Center. He has extensive experience consulting with senior executives in manufacturing and service organizations on ways to improve organizational effectiveness and performance. Pannell has also worked with numerous manufacturing and service organizations, including Baxter, Rich Products, JSC, Kraft, Coca-Cola, Ford, and Cargill, in projects involving quality improvement, cost reduction, and customer focus. He is currently working on his PhD in statistics at the University of Tennessee, with an emphasis on modeling and data mining for marketing and business activities.
John C. Parker, PhD
, is the lead quantitative scientist on GSK's Population Analytics and Economic Affairs Team. As a quantitatively trained social scientist, he has over 20 years of experience teaching and doing research related to processes surrounding the motivation and potential for change in human behavior. Prior to his current position, he was in Blue Cross and Blue Shield of North Carolina's Health Economics and Outcomes Research Group and was involved with the extensive employment of a variety of data mining techniques related to the development of predictive models, segmentation, and program assessment and optimization. His work evaluating the impact of value-based insurance design for pharmaceutical copay waivers has been published in the journals, Health Affairs
(2010) and American Journal of Managed Care
(2012). Previous to BCBSNC, Parker has been on the faculties of Northeastern Illinois University and Vassar College, and was the lead statistician for the Survey of
Gambling in the United States at the Research Institute on Addictions.
is responsible for leading the client and mid-tier development for SAS' emerging unified text analytics solutions. He has 12 years of experience building Web-based analytical tools and comes to SAS from a long line of startup companies. Peterson is a passionate proponent of agile, test-driven software development.
Peterson is a graduate of Auburn University with a degree in computer science.
is dunnhumby's Solutions Director for Media Partnerships across 28 countries worldwide. In this role, Petty is responsible for developing dunnhumby's global media solutions portfolio that enables retailers and brands to relevantly engage their customers outside of the physical store. Working directly with dunnhumby's client teams, Petty oversees the development of joint solutions with external partners that leverage customer-centric targeting and measurement for television, digital, social and other media.
Before joining the media solutions team, Petty served as Solutions and Analytics Director within the Consumer Market Division, focusing on large-scale retail engagements in home improvement. In this role, Petty was responsible for implementing best practices for the data management, insight capabilities and analytics, and the delivery of personalized customer communications and custom merchandising, pricing and promotional strategies.
Prior to dunnhumby, Petty served as Senior Director of Analytics at Aspen Marketing Services, where he provided integrated analysis for clients in the telecommunications and automotive industries. He held similar responsibilities at SRI Analytics, which was purchased by Aspen Marketing Services during his tenure.
Petty holds an MS in statistics from the University of Kentucky and a BS in mathematics and geography from Samford University.
As Director of Marketing Analytics at AT&T Mobility, Russell Pierce
leads a team that uses marketing mix models to drive new strategic market insights and optimize over $1 Billion in wireless advertising spend. In this capacity, he advises AT&T's leadership on the sales and churn impacts of decisions on media buying, advertising, sales and marketing messages.
Prior to this role, Russell was Director of AT&T's Analytical Modelling team, primarily responsible for developing the predictive analytics to drive customer relationship management and prospect management for a base of 60 million customers. These customer level analytics are used to target direct marketing, prioritize U-Verse deployment and target treatment for sales and service.
Russell originally joined BellSouth from McKinsey and Company, where he consulted with Fortune 100 companies and non-profits on strategic marketing issues.
An MBA graduate from Duke's Fuqua School of Business, Russell currently resides in Decatur, GA with his wife, daughter (7) and son (5).
Carlos Andre Reis Pinheiro
has conducted three post-doctorate research terms over the past few years: in human mobility at Université de Savoie, France, in social network analysis at Dublin City University, Ireland, and in optimization at the Institute of Pure and Applied Mathematics, Brazil. He holds a doctoral degree in data mining from the Federal University of Rio de Janeiro, Brazil. Pinheiro has been working in telecommunications since 1998, first at Embratel, then at Brasil Telecom, and finally at Oi, where he created and led the Analytics Lab, which was responsible for research and development in analytics, including pattern recognition, predictive modeling, social network analysis and optimization. He is currently serving as a guest professor at KU Leuven, Belgium, working on human mobility and complex network analyses.
Jennifer Lewis Priestley, PhD
, is an Associate Professor of Statistics at Kennesaw State University, where she is the Director of the Center for Statistics and Analytical Services. She teaches courses in statistics at the undergraduate, master's and PhD levels, and was recognized by SAS as the 2012 Distinguished Statistics Professor of the Year. Priestley served as the Co-Chair of the Analytics 2012 Conference in Las Vegas. She has published articles on binary classification, sampling, and application of statistical methodologies for problem solving, as well as several textbook manuals for Excel, SPSS, SAS and Minitab.
Prior to receiving a PhD in statistics from Georgia State University, Priestley worked in the financial services industry. She was Vice President of Business Development for Visa EU in London, where she was responsible for developing the consumer credit markets for Irish and Scottish banks. She was also Vice President for Business Development at MasterCard International, and held positions with AT&T Universal Card and Andersen Consulting.
Priestley received an MBA from The Pennsylvania State University, where she was president of the graduate student body, and a BS from Georgia Tech. She holds a certification in Base SAS Programming from SAS.
has more than 25 years of experience developing analytics in the financial services industry. He is an industry-recognized author and speaker, having published many papers and presented in conferences, panels and webcasts. In Capgemini, Rex leads the analytics center of excellence in the Charlotte Delivery Center and manages the SAS Alliance partnership for insurance solutions. Rex has extensive experience in advanced analytics and leadership of quantitative analytics projects. He served as Honorary Instructor at USD Beacom School of Business for the Big Data Summer Program "Boot Camp" teaching the data science and analytics course. Rex's passion is turning data into dollars.
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. Pulkstenis has more than a decade of experience improving business strategies with designed multivariate experiments.
Andy received his MS degree in statistics from Penn State University 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, with particular focus on predictive modeling, experimental design and statistical recruiting. When not working, Andy enjoys spending time with his family, NHL hockey, and NFL football.
is the Executive Director of the Institute for Advanced Analytics and Distinguished University Professor in the Department of Computer Science at North Carolina State University. As head of the Institute, he leads the nation's first and largest Master of Science in Analytics degree program, now in its seventh year. Dr. Rappa has 25 years of experience as a professor working across academic disciplines at the intersection of management and computing. An accomplished researcher and instructor, his passion is to bring an entrepreneurial and forward-thinking mindset to innovation in higher learning. His current role is to prepare a new generation of data savvy professionals for leadership in a digital world. Before joining NC State, for nine years he was a professor at the Massachusetts Institute of Technology.
is the CEO of Talent Analytics, Corp. and a faculty member at the International Institute for Analytics. She has more than 20 years working for world-class technology innovators like Lotus, Netscape, WebLine, Cisco and Open Ratings.
Under her direction, Talent Analytics has grown to be a leader in predicting employee behavior - the next logical step beyond predicting customer behavior. In 2012, she led a research team with the International Institute for Analytics that resulted in the world's only benchmark for hiring data scientists/analytics professionals.
Greta is a sought-out thought leader, presenter and author. In 2013, she has spoken or will speak at the Predictive Analytics World events around North America, SAS Day at Kennesaw State, SAP's Game-Changers Radio Show, SAP Sapphire NOW, IIA's Chief Analytics Officer Summit, and other major analytics and business events. Greta recently has been quoted in MIT Sloan Management Review, the Harvard Business Review blog network, Forbes, VentureBeat, Information Management, Computerworld, Data Informed, Tech Target and many other major influential publications. Follow Greta on Twitter, @GretaRoberts.
Robert N. Rodriguez
joined SAS in 1983 and is a senior director in SAS R&D, with responsibility for the development of statistical software. 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 he served as the 2012 president of the ASA.
is an econometric evangelist in Advanced Analytics R&D at SAS. He is responsible for helping to integrate the advanced analytical procedures being created by the SAS/ETS (econometric and time series) development team into SAS' business solutions. He also promotes the use of the newest econometric estimation techniques to new and existing SAS users. Sanford joined SAS after working for a large private consulting firm and holding faculty positions at the University of Cincinnati and Middle Tennessee State University. His background is in applied economics with special interest in industrial organization and health economics. Sanford holds a PhD in economics from the University of Kentucky.
has been at SAS for more than a decade in several customer-facing roles. He has made significant contributions in product management and for the product launch of SAS Forecast Server. He was in charge of field enablement in the area of forecasting globally and acted as a trusted advisor for EMEA forecasting sales opportunities. As a member of the R&D Advanced Analytics and Optimization Services team at SAS, Sglavo addresses customer challenges in large-scale automatic forecasting. Prior to SAS, he spent over five years providing and consuming advanced analytical content and solutions to enterprises ranging from Fortune 500 companies to Internet startups. He received his diploma in mathematics from the University of Applied Sciences in Darmstadt, Germany. Sglavo is also a member of the practitioner advisory board of Foresight magazine, published by the International Institute of Forecasters. In 2010 he received the SAS CEO Award of Excellence.
is a Decision Support Consultant in the Enterprise Informatics division of Highmark Health Services. 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, MBA from Frostburg State University, and a Graduate Certificate in business data mining from Oklahoma State University.
is a professor in the departments of Mathematics and Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign. His research interests focus on effects of stochasticity in a wide variety of systems. He has consulted in the hedge fund and risk management industries, and for the financial regulatory community. He has a PhD in Applied Mathematics from the University of Maryland at College Park, and a BS and MS in Electrical Engineering.
Dr. Charles R. Sox
holds the University Chair of Manufacturing Management at The University of Alabama where he also serves as the Department Head for Information Systems, Statistics, and Operations Management in the Culverhouse College of Commerce and Business Administration. He completed his MS and PhD degrees at Cornell University in the School of Operations Research and Industrial Engineering. He graduated summa cum laude with a BS in mathematics from Furman University. He taught industrial and systems engineering at Auburn University from 1992 until 2002 before moving to the Operations Management program in the Culverhouse College of Commerce and Business Administration at The University of Alabama. His current areas of research and teaching are in supply chain management, planning and scheduling, inventory control, and logistics. His papers have appeared in Management Science
, IIE Transactions
, Transportation Research
, European Journal of Operational Research
International Journal of Inventory Research
, Operations Research Letters
, International Journal of Physical Distribution and Logistics Management
, and the International Journal of Production Economics
. One of his papers, co-authored with Jack Muckstadt at Cornell University, received the 1997 IIE Transactions
Best Paper in Scheduling and Logistics Award. Another paper, co-authored with Burcu Keskin at the University of Alabama, is a finalist in the 2013 INFORMS Wagner Prize competition. His research has been supported by grants from the National Science Foundation and the Department of Transportation. He was selected as the Outstanding Alabama MBA Faculty Member in 2009 and 2010. He was selected as the outstanding Auburn ISE Professor in 1997 and 1999. He has worked as a consultant for several companies including Mercedes-Benz U.S. International, Southern Company, Hyundai Motor Manufacturing of Alabama, Engelhard Corporation, and Milliken.
is the Manager of SAS Predictive Analytics Product Management at SAS.He is described as one of the early pioneers of business predictive analytics and is 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, SAS Credit Scoring for Enterprise Miner, SAS Model Manager, SAS Rapid Predictive Modeler, SAS Scoring Accelerator for Teradata, and SAS Analytics Accelerator for Teradata). Current focus initiatives include easy to use self-service data mining tools for business analysts, decision management and massively parallel high performance analytics.
Wayne received his Ph.D. and M.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 d'Agriculture de Lille, Lille, France.
manages the deployment of analytics solutions at Ford Motor Credit Company. Mr. Vishwanathan's team is responsible for the deployment and maintenance of the operational models that are core to Ford Credit's processes for credit granting and account maintenance. His team collaborates with IT/systems teams to formulate and implement best practices in data management, application architecture and systems integration.
Mr. Vishwanathan is also a technical specialist, exploring opportunities to apply analytics to enrich business processes, and researching emerging areas.
Mr. Vishwanathan holds an MBA degree from the University of Michigan Ross School of Business, a MS in finance from the Indiana University Kelley School of Business, and a bachelor's degree in engineering from the Indian Institute of Technology, Madras (Chennai).
Daryl Wansink, PhD
, has 17 years of experience in the health insurance industry, the last five with Blue Cross Blue Shield of North Carolina as the Director of Health Economics. His work encompasses both the evaluation of health management programs and the segmentation strategy to engage patients in the programs. Daryl 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. Daryl uses statistical modeling as an essential tool to quantify, understand and predict the complex health care system.
has more than 20 years of experience in the design, development, execution and improvement of applied analytics models for clients in the financial services and energy industries. He spent 12 years at SAS, where he was an Analytical Consultant within the Financial Services business unit. In addition, Way has 10 years of experience in analytical management roles. His professional passion is devoted to demystifying the science of applied analytics, and his work emphasizes statistical visualization, analytical data preparation, predictive modeling, time series forecasting, and mathematical optimization applied to marketing and risk management strategies.
Way is the lead faculty member for the Banking Analytics Research Council on behalf of the International Institute of Analytics. He has an undergraduate degree from the University of California at Berkeley and took graduate-level coursework that emphasized the analytical modeling of human and consumer behavior.
is currently Director of Customer Service Insights at T-Mobile USA. In this role, Weigelt is responsible for customer service modeling, customer service reporting and analytics, as well as customer service analytics infrastructure. Prior to T-Mobile, Weigelt managed teams for Amazon in supply chain planning, Level (3) in network capacity planning, and PROS Revenue Management in revenue management optimization. He holds a PhD in operations management, an MS in statistics and an MBA, all from the University of Washington, as well as a master's in industrial engineering from the Technische Universitaet in Berlin.
Chip Wells, PhD
, has over 15 years of experience in implementing theoretical and applied econometrics using the SAS programming language and SAS solutions. He is a Senior Analytical Training Consultant in the SAS Education and Training Division, where he instructs and consults with analysts from the federal government and the financial, health care, oil and gas, and transportation industries. He was an Analytic Consultant in the SAS Advanced Analytics Lab, where he developed solutions that focused on the time series analysis of financial variables and on building forecast models using sentiment data. Chip holds a PhD in economics and an MA in economics with a statistics minor from North Carolina State University.
is the Product Manager responsible for SAS High-Performance Analytics, with a focus on data mining. He also manages SAS in-database products, including SAS Scoring Accelerator and SAS Analytics Accelerator. His responsibilities include gathering market-driven requirements from customers, partners, prospects, analysts, industry influencers and other external resources to set future product direction and prioritize appropriately with SAS R&D.
Wexler has a bachelor's in mathematics and statistics from the University of New Hampshire and a master's in biostatistics from Boston University. He has a track record of building and mentoring successful teams across multiple disciplines, including analytics, database and business intelligence. He is an experienced statistician with more than 15 years using SAS in an enterprise business environment and several years working with databases and business intelligence systems.
Jingyang Xu, PhD
, is a Senior Decision Science Consultant at The Walt Disney Company. Previously, he was a Research Scientist at Mitsubishi Electric Research Labs. Xu received a bachelor's in aerospace engineering from Beihang University (BUAA) and a doctorate in industrial engineering from the University at Buffalo (SUNY). His major research interests are in discrete optimization with application in scheduling and optimal control. Xu's recent interests also include statistical learning techniques with application in energy management and revenue management.
is a Decision Science Technical Manager at The Walt Disney Company. He holds a Ph.D. in industrial engineering from Georgia Tech.
is President of Z Solutions Inc., a firm focused on the support of 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 the selling of the results. Jeff has consulted with industry leaders in manufacturing, retail, public health, science, finance, nutrition and utilities.
Jeff is the developer of exploratory approaches and techniques that have been used by Fortune 500 companies, independent researchers, government agencies and more than 30 universities worldwide. He has practiced in areas as diverse as sizing electric transformers (for which he holds a U.S. patent), market research, fraud detection, health systems and winemaking. In addition to delivering the Business Knowledge Series course that he developed, Jeff is also a contract instructor for SAS, and he serves on the board of the Institute for Business Intelligence at The University of Alabama.
joined Carolinas HealthCare System in 2011 as a research biostatistician. Since joining CHS, she has developed risk-adjusted mortality and length-of-stay models and his been instrumental in implementing readmission risk predictions. Zhou has also developed models to estimate ED wait times and forecast daily visits at hundreds of medical practices within the Carolinas HealthCare System Medical Group. Following undergraduate studies in her native Southeast China, she received a master's in plant pathology with a minor in statistics from the University of Minnesota in 2009, and a second MS in biostatistics from the University of Michigan in 2011. When not evaluating and incorporating new analytic algorithms to improve patient outcomes and the efficiency of care delivery, Zhou enjoys hiking and music.