Analytics Conference speakers are experts in their field. They represent a vast background of skills and experience and are from a wide range of industries. Our speakers are the best and
brightest at what they do. Get ready to be inspired!
This page is updated frequently. Please check it often for the latest list of speakers.
Head of Marketing Intelligence and Brand Consumer Analytics, Adidas
Raphael Cailloux is the Head of Marketing Intelligence and Brand Consumer Analytics at Adidas. He has 15 years of experience in consumer analytics for different industries, where he has tackled a wide range of analytical challenges. His degrees in statistics and marketing have sharpened his eye for both the scientific and business acumen it takes to create value in this area. He has spoken at many conferences about statistical issues (e.g., on an innovative way to find the best functional fit of an empirical conditional distribution) and business issues (e.g., driving customer dialogue with analytics).
Ozcan Cavus received his BS and MS degrees from Istanbul Technical University's Computer Engineering department. He has 12 years of experience in the IT sector, with a focus on the banking, telecom and utilities sectors. He was involved in several big transformation projects in the banking, government and telecom sectors before joining Enerjisa. Cavus developed a strong background in architecture and analytics structures during his five years at IBM. After resigning from IBM, he joined Enerjisa (part of E.ON & Sabanci Group) to create the IT architecture and business intelligence team. This team created an analytical competency center to help different departments leverage analytics in their daily operations.
Director of the Graduate Certificate in Business Data Mining and Professor of Marketing, Oklahoma State University
Goutam Chakraborty, PhD, is the Director of the Graduate Certificate in Business Data Mining and a professor of marketing at Oklahoma State University. In addition to his academic responsibilities, he consults on issues related to developing business analytics capabilities, digital business strategy, and building and managing customer relationships. An internationally known expert in data mining and analytics, Chakraborty has presented numerous programs and workshops to executives, educators, and research professionals worldwide. He has won numerous teaching awards, including the SAS Distinguished Professor Award. Chakraborty's research has been widely published; his most recent book is Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS.
Senior Director, Advanced Analytics, SAS
Manoj Chari is Senior R&D Director in the Advanced Analytics R&D Division at SAS, with primary responsibility for operations research (OR) related software products. In addition to tools for classical OR functionality such as optimization modeling, solvers and discrete event simulation, his department develops optimization and network analysis components for other SAS analytical products as well as solutions for customer intelligence, supply chain and fraud detection applications. His department also includes an OR services group, which supports SAS customer engagements worldwide with modeling and algorithmic expertise. Prior to joining SAS, he spent over a decade in academic research and teaching. Chari has a PhD in operations research from the University of North Carolina at Chapel Hill.
Program Manager, Clinical Analytics, Humana
Sandy Chiu, who joined Humana in 2003, is responsible for developing a portfolio of clinical predictive models to mitigate individuals' health risks through early identification and intervention. She is well versed in health care and advanced data analytics, including clinical data management, predictive modeling, data mining, data visualization and working with cross-functional teams to execute analytic solutions for specific business problems. Chiu holds three patents in the areas of data visualization and predictive modeling (one issued and two applications). She received her master's degree in computer science from the University of Louisville in 2002.
Predictive Analytics Consultant, Ford Motor Company
David Corliss, PhD, is a Predictive Analytics Consultant at Ford Motor Company and a part-time faculty member in astronomy at Wayne State University. He has been using SAS since 1994. His recent work has focused on bringing university research on time series analysis to the wider SAS audience and developing a new SAS Press book on time series methods. Corliss has also been a speaker at SAS Global Forum and the Analytics Conference Series. He is the founder and director of Peace-Work, a volunteer cooperative of statisticians and data scientists analyzing issues in poverty, education and advocacy. Corliss holds a PhD in statistical astrophysics.
Senior Manager, Advanced Analytics R&D, SAS
James Cox has been the Development Manager for SAS Text Miner since its inception in 2000. Prior to that, he was one of the initial developers of SAS Enterprise Miner. He has a PhD in cognitive psychology and computer science from the University of North Carolina at Chapel Hill, holds multiple patents, and has published a number of scholarly papers in the areas of psycholinguistics, categorization and variable selection.
Senior Director, Research and Development, SAS
Jared Dean is a Senior Director in SAS R&D. He is responsible for all aspects of development in SAS' global data mining solutions. This includes customer engagements, new feature development, technical support, sales support and product integration. He recently wrote a book for the Wiley & SAS Business Series: Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners. Prior to joining SAS, Dean worked as a mathematical statistician for the US Census Bureau. He holds an MS degree in computational statistics from George Mason University.
Head of Innovation and Development, Mu Sigma
Zubin Dowlaty is Head of Innovation and Development at Mu Sigma. He has more than 20 years' experience in business intelligence and analytics. At Mu Sigma, he works closely with Fortune 500 companies such as Dell and Microsoft, counseling them on how to institutionalize data-driven decision making. Dowlaty is focused on rapidly implementing innovative analytics technology and statistical techniques into the Mu Sigma ecosystem.
Dowlaty previously served as Vice President of Emerging Technology and Vice President of Decision Sciences for InterContinental Hotels Group. He has over 19 years of direct experience applying quantitative methods to extract value from corporate data. His IHG experience included creating and driving the global management of the data warehouse, applied business intelligence, analytics/advanced analytics, and market research departments. Prior to IHG, he served as Statistical Modeling Manager at UPS, primarily applying statistical models to enhance shareholder value at the world's largest transportation company. Dowlaty received his BSBA in finance from the University of Florida and an MA in economics specializing in econometrics from the University of South Carolina.
Associate Professor of Decision Sciences, University of North Texas
Nick Evangelopoulos is an Associate Professor of Decision Sciences at the University of North Texas and a Fellow of the Texas Center for Digital Knowledge. His research interests include statistics and text mining. His publications include research articles appearing in MIS Quarterly, Decision Support Systems, Communications of the ACM, Communications in Statistics, Computational Statistics & Data Analysis, and many others. Evangelopoulos has taught a number of courses in business statistics, management science, object-oriented programming, forecasting, and data mining. His consulting experience includes corporate projects in text analytics, predictive modeling, customer attrition modeling and policy evaluation. The UNT College of Business honored him with its Outstanding Teaching Innovation Award in 2010 and Outstanding Senior Faculty Research Award in 2013. He can be contacted at Nick.Evangelopoulos@unt.edu.
Chief Meterologist, WRAL-TV
Gregory Fishel is the Chief Meterologist for WRAL-TV. He's received several awards throughout his career, including: Co-recipient of 1985 AMS Award for Outstanding Service by a Broadcast Meteorologist; Recipient of Regional Midsouth Emmy in 2002 from the National Academy of Television Arts and Sciences; First Certified Broadcast Meteorologist in the United States (April 2005); One of six recipients of AMS Special Award in 2006 for extensive and exceptional work over the years on the development, writing, implementation and execution of the new standards for broadcasters through the American Meteorological Society Certified Broadcast Meteorologist program; Elected Fellow of American Meteorological Society (2013).
Fishel earned a bachelor's in meteorology from Pennsylvania State University in 1979.
Manager, Advanced Analytics Performance Consulting, JPMorgan Chase
James Gearheart is the Manager of the Advanced Analytics area of Performance Consulting for JPMorgan Chase. He has over 15 years of experience developing and analyzing statistical models that optimize business performance across several industries including financial services, public health care, environmental services, Social Security and workers' compensation. In his current role, Gearheart leads a team of data scientists on projects ranging from logistics, anti-money laundering, customer service response and cash demand forecasting. His research interests include forecasting, predictive modeling, simulation modeling and optimization. Gearheart's dual master's degrees in economics and philosophy provide the basis for his conceptual and systemic approach to predictive modeling and business analytics.
Vice President and Analytics Manager, JPMorgan Chase
Donovan Gibson is a Vice President and the Analytics Manager at JPMorgan Chase. He possesses almost 20 years of financial, statistical and quantitative valuation experience in financial services. Nearly nine years after leaving consulting, Gibson began at JPMorgan Chase as a Global Business Manager in Operations Finance, managing several finance teams across the globe. He was then promoted to a business unit CFO role, where he helped run a business and manage a budget of $1.4 billion. Gibson currently manages multiyear, million-dollar analytical programs and teams of data scientists, technology developers and program managers. He has a bachelor's degree in finance and an MBA, and is a graduate of the Graduate School of Retail Banking.
Vice President of Business Intelligence, Delivery Services, Enterprise Data and Integration, SunTrust Bank
Sterling Green is the Vice President of Business Intelligence, Delivery Services, Enterprise Data and Integration at SunTrust Bank. Green previously worked at GE and another financial services company.
While enrolled in a PhD program at the University of Connecticut, he created Sterling Information Systems Inc. to provide business intelligence consulting services to the financial services, insurance, health care and state government sectors.
Vice President, Credit Risk and Econometrics, Wescom Credit Union
David Gumpert-Hersh began his career as a corporate treasury and risk manager, and has worked at Starbucks, HSBC, Netscape and Microsoft. He enjoys creating "forward thinking" models in the areas of credit risk, stress testing and forecasting. Gumpert-Hersh earned his bachelor's at Menlo College and completed coursework at San Francisco State toward a master's in multinational finance.
Full Professor of Decision Sciences, Pepperdine University
Owen P. Hall Jr., PhD, holds the Julian Virtue Professorship and is a Rothschild Applied Research Fellow. He is a Full Professor of Decision Sciences at the George L. Graziadio School of Business and Management, Pepperdine University, and has over 35 years of academic and industry experience. He is the author of several textbooks on computer based decision-making and has written extensively on educational collaboration, data mining and Internet-based learning. He is a member of the Beta Gamma Sigma and Delta Mu Delta Honor Societies. Hall received his PhD from the University of Southern California and undertook post-doctoral studies at the Center for Futures Research.
Research Statistician Developer, SAS
Patrick Hall creates new data mining and machine learning technologies for SAS Enterprise Miner. He is a Cloudera Certified Data Scientist and a SAS Certified Advanced Programmer. He studied computational chemistry before graduating from the Institute for Advanced Analytics in 2012.
Expert Principal, Risk Practice, McKinsey & Company
Hans Helbekkmo is an Expert Principal in McKinsey & Company's Risk Practice, where he heads up the enterprise risk management service line. He joined McKinsey from Union Bank in 2012, where he served as Head of Credit Portfolio Risk Analysis for five years. Helbekkmo has extensive experience advising financial institutions on risk management issues, including credit, market, insurance and operational risk. He has deep experience as a consultant, solution provider and in-house risk manager.
Assistant Professor, Grand Valley State University
Laura Ring Kapitula is an assistant professor of statistics at Grand Valley State University. She received a PhD in statistics and a master's degree in cognitive psychology from the University of New Mexico. Her research interests include statistical computing, educational evaluation, hierarchical modeling, influence diagnostics, epidemiology and statistical graphics. She is a highly experienced applied statistician who has had the opportunity to work collaboratively in diverse areas such as education, medicine, transportation research, human computer interaction, epidemiology and psychology.
Research Fellow, Health Insurance Review and Assessment Service, South Korea
Logyoung Kim has held numerous positions at the Health Insurance Review and Assessment Service in South Korea. Kim's current role is Research Fellow. He received an undergraduate degree from the Seoul National University of Science and Technology. Kim also has a master's and PhD in economics from Hanyang University.
Professor of Financial Analytics, Institute for Advanced Analytics
Kostas Kyriakoulis is a full-time Associate Professor of financial analytics at the Institute for Advanced Analytics in Raleigh, NC. His area of expertise is credit and market risk analysis, and he teaches subjects such as risk and simulation analysis, financial modeling, and credit scoring. Previously, Kyriakoulis was the Analytical Solutions Manager in Risk Management for Banking and Insurance at SAS, where he was employed for six years. Kyriakoulis received his PhD in econometrics from North Carolina State University in 2006.
Senior Solutions Architect, SAS
Carlos Lara is a Senior Solutions Architect with the SAS Americas Business Analytics Practice, where he is responsible for empowering both sales and technical forces in the positioning and integration of SAS, as well as supporting SAS customers and prospects. 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. Lara holds a bachelor's degree in mathematics from the Universidad Autonoma de Yucatan and a master's degree in statistics from Colorado State University. He has also completed doctoral course work in statistics from the same university.
Principal Data Scientist and Technical Architect, PeakAnalytics Software
Richard Lieberman is the principal data scientist and technical architect of PeakAnalytics software, which combines quality measurement and risk adjustment metrics on the same web-based software platform. He is also is one of the nation's leading experts on risk adjustment, quality measurement and predictive analytics in the managed care industry. Since 1991, he has been active in the design and implementation of risk adjustment models and risk-adjusted payment systems for commercial, Medicare and Medicaid payers. Lieberman has an in-depth understanding of Medicare, Medicaid and Affordable Care Act statutes, regulations and policies.
Senior Manager, SAS Global Professional Services, SAS
Patrick Maher is a Senior Manager with SAS' Global Professional Services organization. Maher has over 20 years of experience in statistical analysis and predictive modeling. He has worked on projects within the entertainment, higher and public education, financial services, CPG, pharmaceutical, automotive, health care and services industries. In his 16 years at SAS, he has also served in sales and marketing roles. Previously, Maher was an analyst in the CPG industry and an analyst and project coordinator in health care research.
For the last five years, Maher has lead the US business analytics practice at SAS. The practice's analytical consultants are responsible for data mining, forecasting and predictive modeling solutions across a range of industries. It is the experience leading this all-star team that Maher uses as a basis for this presentation. Maher has a master's degree in research methodology and a bachelor's degree in psychology, both from the University of Pittsburgh.
Vice President for Acquisitions Credit Risk, Wells Fargo Home Mortgage
Ryan Marcum serves as Vice President for Acquisitions Credit Risk at Wells Fargo Home Mortgage. He is responsible for advancing data visualization, big data analytics and predictive modeling to provide proactive recommendations to support and direct credit policy and strategic business changes. Marcum has over 13 years of experience leading successful data science initiatives within financial services, mortgage and political consulting industries. He is a seasoned developer in multiple programming languages and databases, and has been using SAS for the past 11 years.
Marcum earned his bachelor's in business administration from the University of Wisconsin - River Falls and a Master of Business Administration in marketing and finance from Argosy University, Twin Cities.
Lead Text Analytics Specialist, Bridgeborn Inc.
Julia Marshall works for Bridgeborn Inc. and is currently on assignment at the US Agency for International Development (USAID). She is the lead text analytics specialist overseeing the implementation of SAS for the Development Experience Clearinghouse within USAID. Marshall has been working on the Development Experience Clearinghouse for the past five years, both as team lead and as the classification librarian. She previously worked for three years at the International Monetary Fund as an indexer and taxonomist. With a background in library science and indexing, she has a great deal of experience in how humans categorize data and how to translate that into machine rules for business benefit.
Staff Scientist, SAS
Xiangxiang Meng is a Staff Scientist in the Data Science Technologies department at SAS. Xiangxiang received his PhD and MS from the University of Cincinnati. The current focus of his work is on the algorithm development and platform design for machine learning and business intelligence software, including SAS Visual Statistics and SAS In-Memory Statistics on Hadoop. His research interests include decision trees and tree ensemble models, Bayesian networks and Naive Bayes, recommendation systems, and parallelization of machine learning algorithms on distributed data.
Business Analytics Consultant, SAS
Murali Pagolu is a Business Analytics Consultant at SAS and has nine years of consulting experience. He is responsible for implementing analytical solutions, developing proof of concepts and providing sales support to SAS customers across industry verticals in areas like text analytics, data mining for CRM applications, segmentation and predictive modeling. He presented some innovative applications of text analytics such as mining text comments from YouTube videos and patent portfolio analysis at past Analytics Conference Series events. Pagolu has been instrumental in successful implementations of SAS Text Analytics solutions involving topic discovery, content categorization, concept extraction, contextual analysis and sentiment analysis for SAS customers.
Data Scientist, EMC
Carlos Andre Reis Pinheiro, PhD, is Data Scientist at EMC, Visiting Professor at KU Leuven, Belgium and Lecturer at FGV, Brazil. His current research interests are network analysis for business applications and urban mobility. His analytics career began while working for a Brazilian worldwide shipping company, CSAV. Pinheiro also worked at some of the largest telecommunications providers in Brazil, examining business problems in database marketing, data warehousing, data mining and social network analysis. He is author of Social Network Analysis in Telecommunications and Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World. Pinheiro holds a PhD in engineering from the Federal University of Rio de Janeiro.
Deputy Director, Institute for Health Policy and Practice
Jo Porter, MPH, serves as Deputy Director for the Institute for Health Policy and Practice (IHPP). She is responsible for overall management of a number of health analytic projects within IHPP's Center for Health Analytics, and also oversees operational functions across IHPP. She co-chairs the All-Payer Claims Database (APCD) Council, and has over 15 years of health care-related project management and program development experience. Her research interests are in health data collection and dissemination, and using data to effectively improve health care quality. Porter earned her BS in microbiology from the University of New Hampshire and a Master of Public Health from Boston University.
Senior Manager, Operations Research, SAS
Rob Pratt has worked at SAS since 2000 and is a Senior Manager in the Operations Research department within SAS R&D's Advanced Analytics division. He manages a team of developers responsible for the optimization modeling language, network algorithms and the decomposition algorithm. He earned a PhD in operations research from The University of North Carolina at Chapel Hill.
Professor of Applied Statistics and Data Science, Kennesaw State University
Jennifer Priestley is a Professor of Applied Statistics and Data Science at Kennesaw State University, where she is the Director of the Center for Statistics and Analytical Services. She was recognized by SAS as the 2012 Distinguished Statistics Professor of the Year. Previously, Priestley spent 11 years working in the financial services industry. She has authored published articles about statistics as well as textbook manuals.
Priestley received a bachelor's from Georgia Tech and an MBA from The Pennsylvania State University. She earned her PhD in statistics from Georgia State University in Atlanta. Priestley also holds SAS certifications in Base SAS programming and business analysis.
Director of Analytics, State Farm Insurance
Andy Pulkstenis is a Director of Analytics for State Farm Insurance. He leads a team of advanced analytics professionals providing statistical analysis and predictive modeling support for the enterprise across a variety of business units. His background includes over a decade of experience improving business strategies with designed multivariate experiments.
Pulkstenis 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, Pulkstenis enjoys spending time with his family, NHL hockey and NFL football.
Senior Director, Research and Development, SAS
Robert N. Rodriguez is a Senior Director in Research and Development at SAS, 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 in 1983. Rodriguez is a Fellow of the American Statistical Association and served as the 2012 president of the ASA.
Senior Research Statistician, Advanced Analytics, SAS
Kenneth Sanford is a Senior Research Statistician in Advanced Analytics R&D and an econometric evangelist at SAS. He is responsible for helping to integrate the advanced analytical procedures being created by the development team into SAS' business solutions. 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 work on optimal pricing has been published in the Southern Economic Journal and the Journal of Sports Economics. He holds a PhD in economics from the University of Kentucky.
Senior Director, Advanced Analytics, SAS
Tugrul Sanli is a Senior Director in the Advanced Analytics R&D Division at SAS. He leads the Revenue Management and Price Optimization group, supervising research and development of forecasting and optimization techniques to support revenue management and price optimization. Tugrul also works closely with IDeaS to support the IDeaS G3 next-generation price optimization system. He has been with SAS since 1998. Tugrul has a PhD in operations research from the University of North Carolina at Chapel Hill and an MS in operations research from Columbia University. He has been a visiting professor at UNC several times, teaching courses in statistical inference, regression, decision analysis and mixed linear-integer programming.
Senior Consultant, WellPoint
Praveen Saxena is a senior consultant at WellPoint in advanced analytics. He has more than 12 years of experience mining health insurance data using different SAS data manipulation and data mining tools, particularly SAS Enterprise Miner and SAS/OR®. In his current role at WellPoint he is responsible for developing persistency models and estimating consumer lifetime values for the individual and small group lines of business. His other analytical expertise includes consumer segmentation, design and testing of marketing campaigns, resource optimization using linear programming, targeted marketing and retention, conjoint simulation, and text mining. Saxena holds a graduate degree in business administration, specializing in decision sciences and health services research.
Senior Director, Advanced Analytics, SAS
Saratendu Sethi is Senior Director for Advanced Analytics at SAS. Sethi manages the software research and development efforts for SAS Text Analytics solutions. He has extensive experience in software engineering and natural language processing technologies, and is an expert in text processing statistical algorithms and techniques. In addition to supporting core text analytics, machine learning and information retrieval solutions, his team is responsible for the development of linguistic algorithms and dictionaries for solving various NLP problems like tokenization, stemming, part-of-speech tagging and spelling correction. Sethi joined SAS through the acquisition of Teragram. Before joining Teragram, he held research positions at IBM Almaden Research Center and Boston University, specializing in the use of statistical techniques for content-based search using statistical categorization and feature extraction techniques.
Harpreet Singh is currently employed by Humana in Louisville, KY, as a Metrician for the Clinical Analytics team. Singh is responsible for developing and maintaining a suite of predictive analytics to solve critical business problems using the best technologies available. He has a PhD in computational analysis and modeling with a concentration in data mining from Louisiana Tech University. His research interests lie in data mining, predictive analytics and pattern matching.
Director of Analytics, American Express
Landon Starr is a Director of Analytics at American Express. Over the last year, he has focused on optimizing customer relationship management (CRM) through trigger messaging, high-frequency chained messaging, and sophisticated performance assessment to make fast-paced and statistically significant decisions on customer communication strategies. Prior to American Express, Starr headed the analytics team for an asset-backed-security hedge fund, where he was responsible for leading acquisition, behavioral modeling and analytical fund allocation strategies on a $3 billion portfolio. Starr holds an MS in finance and a BS in economics from the University of Utah.
Dean of Technology, Capella University, School of Business and Technology
Sue Talley, EdD is the Dean of Technology at Capella University's School of Business and Technology. She joined Capella University's School of Undergraduate Studies as Faculty Director in 2006 and became Dean of Technology in the School of Business and Technology in 2012. Her background includes teaching and program director positions at Pepperdine University. Talley also worked for Apple in Cupertino, CA. She currently serves on the Editorial Advisory Board for Campus Technology. Talley completed her master's and her doctoral work in educational technology at Pepperdine University.
Research Statistician Developer, SAS
Michele Trovero is a research statistician developer in the Forecasting R&D group at SAS. His interests cover a wide variety of topics related to forecasting and time series analysis, including large-scale automatic forecasting, judgmental forecasting, state space models, and long-memory time series. He has presented at several international conferences on these topics. He received a PhD in statistics from the University of North Carolina at Chapel Hill and has a degree in economics from Bocconi University in Milan.
Global Analytics, Ford Motor Credit Co.
Lan Wang works in the Global Analytics Department at Ford Motor Credit Co. She received her PhD in mathematics and later became an Associate in the Society of Actuaries. After working as an assistant professor at University of Michigan and an actuarial analyst at a pension consulting firm, she joined Ford Motor Co. She worked in the Research and Innovation Center and Ford pension group before joining the Ford Motor Credit Co. in the Global Analytics Department.
Principal Product Manager, SAS
Jonathan Wexler is the Principal Product Manager responsible for SAS Enterprise Miner and SAS High-Performance Analytics. His responsibilities include gathering market-driven requirements from customers, partners, prospects, analysts and other external resources in order to set future product direction. He has a particular passion for bringing to market products that enable operationalizing the analytical life cycle. Wexler has a master's degree in biostatistics and undergraduate degree in mathematics/statistics, with more than 18 years of experience using SAS. He has served as a speaker for the Analytics Conference Series and SAS Global Forum.
Program Manager, Humana
Dr. Hamed Zahedi is a Program Manager working on analytics, data mining and predictive modeling for health care data, and co-leads the Predictive Modeling team within the Clinical Analytics department at Humana. He has led the development and implementation of several clinical predictive models to enable the business to identify individuals most in need of clinical management. Those individuals are then enrolled in clinical programs. Zahedi has a PhD in applied mathematics from the University of Louisville, where his dissertation work focused on analytics in the health care industry. He authored a book chapter and presented his work at Analytics 2011, PharmaSUG and other analytics conferences.
Senior Manager, Management Consulting, SAS
Aiman Zeid heads Organizational Transformation Services for SAS' Global Business Consulting unit. Zeid specializes in evaluating organizational maturity and readiness to deploy and use business analytics. He works with organizations in all industries to assess their technical information management infrastructure, resources, skills, processes and culture. He has 29 years of experience in information management, business consulting and technical implementation of business analytics and performance management solutions. Zeid holds an MBA and a BS in engineering from George Washington University. Prior to joining SAS, Zeid held several senior research and analysis positions with consulting firms, including Battelle Institute and the Hay Group, where he applied SAS and other technologies to support the business requirements and strategies of organizations in the public, private and research sectors.
This list was built using SAS software.