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Program

Session Speakers

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 and countries. Our speakers are the best and brightest at what they do. Get ready to be inspired!

This page is updated frequently. Please check back soon.
Belgium
Bart Baesens, PhD
Assistant Professor, KU Leuven
Professor Bart Baesens is an Associate Professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on analytics, customer relationship management, web analytics, fraud detection and credit risk management. His findings have been published in well-known international journals (e.g., Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research) and presented at top international conferences. He is also co-author of the book Credit Risk Management: Basic Concepts, published in 2008. He regularly tutors, advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy.
Gaël Kermarrec
Project Manager, Fraud Analyst, Federal Public Service Social Secruity
After obtaining his master's degree in sociology from the Vrije Universiteit Brussel (1993), Gaël Kermarrec worked as a researcher in the sociology department of that same university. From 1998 to 2005, he worked as an analyst for the Belgian Federal Public Service Justice. He has been a fraud analyst for the Federal Public Service Social Security since 2005. He is now a project manager, and his projects include data mining, fraud detection and statistics. His projects emphasize the interaction between expert business knowledge and data mining algorithms, the collaborative use of data mining tools, and data mining as a means to divulge validated information rapidly throughout a decentralized organisation.
Andrew Pease
Principal Business Solutions Manager, SAS
Andrew Pease is responsible for advanced analytics in the SAS Global Centre of Excellence for the analytics platform. He is passionate about getting the most out of data analysis for tackling the most challenging business issues. Pease helps organizations understand and use powerful analytic techniques such as predictive modelling, time series forecasting, optimisation and text mining, including the implementation of in-memory and Hadoop technologies. He also assists organizations in developing road maps for dealing with big data and using high-performance analytics embedded in core business processes.
Carlos Andre Reis Pinheiro
Visiting Professor, KU Leuven
Carlos Andre Reis Pinheiro, PhD, is currently a visiting professor at KU Leuven(Belgium) and a lecturer at FGV Brazil, investigating human mobility in urban areas. His business analytics career began while working for a Brazilian worldwide shipping company, CSAV. Pinheiro also worked at some of the largest telecommunications providers in the private market, and has examined business problems in database marketing, data warehousing, data mining and social networks analysis across a wide range of departments, including IT, marketing, sales, revenue assurance and finance. Pinheiro holds a PhD in engineering from the Federal University of Rio de Janeiro; an MSc in computer science from Fluminense Federal University; and a BSc in mathematics and computer science.
Gery Pollet
Chief Executive Officer, ZapFi
Gery Pollet founded ZapFi in 2010. In his role as Chief Executive Officer, Pollet is responsible for the execution of ZapFi's corporate strategy, market direction and day-to-day management. Pollet's prior experience spans numerous roles, including Managing Director, founder and corporate executive. Pollet has a successful track record for bringing advanced technology ideas to market. His latest business success was Aquanta, which was acquired by Artilium plc (a publicly listed company with AIM on the London Stock Exchange) in 2006. Aquanta specialised in the development of Internet telephony applications (VoIP). Prior to that, Pollet founded ITinera Services, an ISP with a focus on the SME market and the first ISP in Belgium to use satellite technology. ITinera was acquired by VersaTel Telecom International (later acquired by KPN). Pollet's first startup was Planet & Partners, the first consumer ISP in Belgium. Planet & Partners was acquired by Cable & Wireless in 2000. Pollet is an inspirational leader and visionary and has won numerous awards and recognitions.
Véronique Van Vlasselaer
PhD Researcher, KU Leuven
Véronique Van Vlasselaer graduated magna cum laude as master information systems engineer at the faculty of Business and Economics, KU Leuven (Belgium). For her master thesis topic "Mining Data on Twitter," she received the best thesis award from the faculty's student branch. In October 2012, Van Vlasselaer started as PhD researcher with Prof. Bart Baesens in the department of decision sciences and information management. Her main research topics include social network analysis, fraud detection and net lift modeling.
Maaike Van den Branden
Analytics Team Leader, Delhaize
After finishing her degree in applied economics (majoring in marketing) at the University of Leuven, Maaike Van den Branden earned a marketing analytics master's degree at Ghent University to further enhance her analytical skills. This one-year program covered topics such as data mining, analytical customer relationship management and traditional market research.

Post-qualification, she began working for Dunnhumby UK, providing customer insight and targeting for Tesco Clubcard. Following this, she spent two years with international consulting company Accenture, working predominantly on CRM projects for numerous companies. She then returned to her two passions, retail and analytics, with Delhaize, a major supermarket chain in Belgium. Van den Branden has been working for Delhaize for nearly four years now, and she is responsible for an analytics team performing analyses on promotions, store formats and forecasting.
Geert Verstraeten, Dr.
Managing Partner, Python Predictions
Geert Verstraeten is Managing Partner at Python Predictions, a Brussels-based niche player with expertise in the domain of predictive analytics for marketing, risk and operations. He has more than 10 years of analytics experience in different industries such as retail, mail order, telecom, banking, utilities, fundraising and subscription services. Verstraeten has presented at a large number of business and academic conferences, and is Program Chair of Predictive Analytics World London, a vendor-neutral business conference bringing together experts, practitioners and managers in the domain. He holds a PhD in applied economics at Ghent University, Belgium.
Columbia
Alejandro Correa Bahnsen
Luxembourg University
Alejandro Correa Bahnsen has several years of experience in analytics, applying data mining models in a variety of areas from advertisement to credit risk. Bahnsen is currently developing an advanced analytics system for credit card fraud prevention for SIX, a major card processing enterprise in Europe. He is also in charge of developing intelligent reporting for the card management team. Bahnsen is an experienced lecturer in econometrics, machine learning and business analytics. He holds an MS in industrial engineering from Los Andes University, and is working toward a PhD in pattern recognition and machine learning from the University of Luxembourg.
Andres Gonzalez
Decision Analytics Manager for Customer Experience, DIRECTV
Andres Gonzalez is currently the Decision Analytics Manager for Customer Experience at DIRECTV Colombia. He has extensive experience in analytics application for industries such as banking and telecommunications, and has solved many challenges by using innovative statistical techniques combined with business strategy. Gonzalez has also been a speaker at many industrial and academic conferences, including SAS Global Forum, Analytics Conference Series and IEEE International Conference on Data Mining. Gonzalez holds a BSc in industrial engineering and an MSc in industrial engineering, with a major in operations research and statistics, from Los Andes University in Colombia.
Denmark
Jan Friis
Senior Business Analyst, BEC
Jan Friis has worked with financial risk for a number of years, with the last five primarily focused on predictive modelling of credit risk. Friis' theoretical foundation is an MSc (economics) and diploma degree in accounting, all from Copenhagen Business School. He is a senior business analyst at BEC in Denmark.
Dan Sten Rexen
Senior Advisor, The Danish National Labour Market Authority
Dan Sten Rexen is a Senior Advisor at Styrelsen for Arbejdsmarked og Rekruttering, The Danish National Labour Market Authority, and has many years of experience as project manager of complex IT projects from inception through completion. Rexen has experience with managing projects through agile methods (Scrum/XP) and also traditional waterfall methods (Prince2). He is educated as a sociologist and has taught quantitative and qualitative methods at Copenhagen University (using both SAS and SPSS extensively).
France
Nicolas Arnoult
Quantitative Analyst, Natixis
Nicolas Arnoult is a quantitative analyst in the Global Risk Quantitative Studies Department at Natixis. He currently works on covered bonds, corporate default probabilities and sovereign loss given default. Previously he has done stress test modelling for real estate, shipping, aviation, commodities and credit migration matrix also with Natixis. Nicolas has master's degrees in financial engineering and economics. He has previously presented at SAS Forum France 2011 on neural networks and time series.
Germany
Verena Braunschober, Dr.
Senior Analyst, Telefonica Germany
Verena Braunschober, PhD, is a Senior Analyst in the Business Analytics department of Telefonica Germany. In her current role, Braunschober delivers forecasting results that support different strategic, operational and tactical decisions for a telecommunications market that is fundamentally changing. Her scientific knowledge helps Telefónica implement its forecasting infrastructure, which is based on SAS software. Previously, Braunschober worked on a research team for the federal statistical office in Germany, where she focused on predictive modeling. She holds a PhD in applied econometrics from the University of Mainz.
Raphael Cailloux
Head of Brand CRM Marketing Intelligence, Adidas
Raphael Cailloux is the Head of Brand CRM Marketing Intelligence at Adidas. He has 15 years of experience in consumer analytics for different industries (media, utilities and retail), where he has tackled a wide range of analytical applications. 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).
Kai Heinrich
PhD Student, Dresden University of Technology
Kai Heinrich is a PhD student at Dresden University of Technology. He studies business informatics, focusing on statistical and econometric methods, as well as business intelligence and information systems. His research interests include data mining, especially Web mining, and social network analysis in the domain of microblogs and virtual social networks. He is a teaching and research assistant within the Business Intelligence Research (BIR) competence centre at Dresden University of Technology.
Andreas Hilbert, Prof. Dr.
Full Professor and Chair of Business Informatics, Dresden University of Technology
Andreas Hilbert is Full Professor and Chair of Business Informatics at the Technische Universitaet Dresden as well as Director of the Competence Center for Business Intelligence at the faculty of business and economics at the same university. He is a board member for the business intelligence task force within the Gesellschaft für Informatik, the largest society of computer scientists in Germany, and chairman of the board of the Business Intelligence Research Association. His research interests include business intelligence and business analytics in general, data warehousing, data mining and social media analysis, as well as revenue management in the services sector.
Daniel John, Dr.
Thought Leader, Information Management, HUK Coburg
Daniel John is a thought leader in the use of information management at HUK-COBURG, one of the most successful German insurance companies. He is responsible for a team of data scientists that uses business analytics in a wide range of applications to gather new insights and to improve and redesign processes and systems enterprisewide. Besides this, he is head of actuarial pricing in non-life insurance and he also has a lot of experience in actuarial risk management.
Michael Jungbluth, Dr.
Project Manager and Analytics Expert, SAS
Michael Jungbluth is a Project Manager and Analytics Expert at SAS Germany, where he is responsible for SAS Customer Intelligence implementations and data mining projects. His industry domain is the FMCG retail sector. Prior to his affiliation with SAS, Michael worked as a Senior Consultant for Consumer Insights and Analytical CRM at Bertelsmann AG and helped retail customers to detect and exploit new revenue streams based on data-driven consumer insights. Michael received his PhD in marketing in 2010 for his research on customer valuation using stochastic and hierarchical Bayesian models.
Gero Szepannek, Dr.
Head of Scoring and Rating Models, Santander Consumer Finance
Dr. Gero Szepannek is head of scoring and rating models and responsible for credit scoring methodology across different units of Santander Consumer Finance in Europe. He has a PhD in statistics and more than a decade of data mining experience in research and industrial practice within different application areas like CRM, credit risk, medical science and industrial engineering. He has written several papers and presented at international conferences. His main interests are predictive modelling and segmentation.
Patrick Walch, Dr.
Head of Advanced Analytics and Models Team, Telefónica Germany
Patrick Walch is responsible for the Advanced Analytics and Models team in the Business Analytics department of Telefónica Germany. With his team, he provides insights that improve decision making in all business units of Telefónica, based on ad hoc analyses, analytical models and analytical consulting. The analytical portfolio ranges from descriptive analytics, data mining methods, predictive modeling, optimization algorithms and simulations to forecasting. Walch holds a Dr. rer. nat. and a Dipl. -Math. oec. from Ulm University, with a focus on game theory, financial mathematics and operations research.
Italy
Giovanni Monopoli
Strategic Analysis and Financial Planning Manager, QVC
Giovanni Monopoli has worked for QVC Italy since the commercial launch in October 2010. He is now the Strategic Analysis and Financial Planning Manager within the Finance Department. His team is designed as an Analytics Centre of Excellence with the mission to proactively support the business departments on the quantitative evaluations of business phenomena and their impact on key decisions. Other main responsibilities include coordinating the budget process, developing financial and business reporting, and supporting operative planning. After earning a degree in economics, Monopoli joined McKinsey as a business consultant, experienced the excitement of a startup at 3 Italy, and worked as analysis manager and product manager in consumer marketing at Vodafone Italy. He loves the outdoors, practicing cycling, hiking and skiing. As his own role requires, he also goes crazy for strategic board games. Having the opportunity to share the experience of analytics powered by the SAS platform (in particular SAS Forecast Studio) at Analytics 2014 will be an excellent occasion of professional growth and sharing best practices.
Norway
Ketil Sandvand
Head of Customer Intelligence, Telenor
Ketil Sandvand is Head of 1-to-1 Sales and Customer Intelligence at Telenor. He has more than 15 years of experience in management positions in Telenor's mobile operations in Norway, Hungary, Denmark and Russia (VimpelCom). His areas of expertise cover P&L responsibility, marketing and brand management, 1-to-1 sales, business and customer intelligence, change management, portfolio management and consulting. Sandvand holds an MSc in business and economics.
South Africa
Anneke Deetlefs
Senior Manager for Social Media Analytics, Standard Bank
Anneke Deetlefs is the Senior Manager for Social Media Analytics within the Advanced Analytics and Modelling team at Standard Bank, a leading South African bank. She has a master's degree in data mining and has, over the last five years, constructed analytics for strategic marketing purposes. Her team began experimentation with text analytics three years ago which delivered fresh customer insight receiving prompt attention from higher management.

She has worked with various sources of data including social media, customer complaints, SMS replies, channel feedback and surveys. Her team has built relevancy, topic and sentiment models and has recently been focused on linking unstructured to structured data. They have faced challenges of customizing text mining models to handle popular South African topics and languages – as well as incorporating this into current warehouse systems. These analyses were used for brand reputation, strategic decision making, customer relationship management and optimizing internal processes.
Spain
Aleyda Andreo
SAS Demand Analyst, Nestlé
Aleyda Andreo is the Demand Analyst at Nestlé Iberia. Andreo's role is new to the Iberian market and she is part of a team that's using SAS Demand Forecasting to define new standard guidelines at Nestlé Europe. She has 10 years of experience in statistical analysis, SAS programming and data management in the media, insurance, government and manufacturing industries. Andreo has a degree in mathematics, specialising in statistics at Universitat Politècnica de Catalunya – BarcelonaTech (UPC).
Rathindra Soti
Business Solutions Expert, Demand Planning, Nestlé
Rathindra Soti is a demand analyst for Nestlé's European markets. He's also a project manager working on the deployment of a SAS forecasting solution that is the foundation for Nestlé's demand planning in Europe. Prior to his current roles, Soti was involved in the implementation of Nestlé's demand-planning template in Europe, which plays a key role in the Nestlé's monthly planning cycle for sales, customer service and supplies. He has extensive ABAP programming experience in supply chain tools such as SAP APO and R/3. Soti is also an electronics engineer, with a specialization in microprocessors.
Switzerland
Herbert Bucheli
Senior Director, Aduno Group
Herbert Bucheli is Senior Director at the Aduno Group, a leading Swiss credit card issuing and acquiring company, and heads the Business Analytics department. Bucheli is responsible for all activities for data analytics within the Aduno Group, including fraud and risk scoring, marketing optimization, and the development of analytics-based customer services. Currently he is engaged in the development of a recommender system for a recently launched loyalty program. Bucheli holds an MSc in physics from the Swiss Institute of Technology in Zurich and now has more than 16 years of analytics and data warehousing experience.
The Netherlands
Peter Leijten
Manager for Quantitative Analysis of Operational Risk, ABN AMRO
Peter Leijten is the Manager for Quantitative Analysis of Operational Risk at ABN AMRO, where he has worked for the last four years. Leijten has eight years of experience in the field of operational risk. Before working in the risk domain, he worked for more than 25 years in IT security, most recently as an IT security architect.
Turkey
Tamer Cagatay
Senior Business Analytics Specialist, Turkcell
Tamer Cagatay is a Senior Business Analytics Specialist at Turkcell. His experience lies in predictive and descriptive analytics, and he has worked on a wide variety of assignments, such as churn prediction, customer segmentation, social network analysis, offer and response propensity modelling, and forecasting. Cagatay graduated from Istanbul Technical University, Industrial Engineering Department, and holds a master's degree in financial time series data mining.
Gonca Gulser
Data Mining Expert, Turkcell
Gonca Gulser has more than 10 years of experience in the areas of customer analytics and data-driven CRM, with an extensive knowledge about data mining algorithms and methods. Her expertise is in both the service sector and consulting industry, with experience in several countries around the world. She has been working for Turkcell for about nine months as a data mining expert. Prior to Turkcell, she worked as a consultant for Erste Bank, Croatia; TurkTelekom, Turkey; and Virgin Holidays, UK. In addition to her professional experiences, Gulser is a part-time lecturer at Boğaziçi University for data mining in CRM.
US
Bahadir Aral, PhD
Senior Operations Research Specialist, SAS
Goutam Chakraborty
Professor of Marketing, Oklahoma State University
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 models. 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.
Manoj Chari
Senior Director in the Advanced Analytics R&D Division, SAS
Manoj Chari is Senior R&D Director in the Advanced Analytics Research & Development Division at SAS in Cary, North Carolina, with primary responsibility for operations research (OR) related software products from SAS. 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 SAS 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.
Robert Cohen
Senior Director, Advanced Analytics R&D, SAS
Robert Cohen is a Senior Director in the Advanced Analytics R&D Division at SAS. He leads a team that provides infrastructure for 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.
Jeff Day
Sr. Manager, Advanced Analytics R&D, SAS
Jeff Day is a Senior Manager within Advanced Analytics R&D at SAS. His focus is solving customer optimization and simulation problems. Since joining the company in 2009, he has worked on projects in a variety of industries including media, retail, financial services, government, transportation, pharmaceuticals and utilities. Prior to SAS, Day spent two years at a consulting firm developing software to manage real-time forecasting, fleet optimization and labor scheduling for a Fortune 100 company. After completing his PhD in operations research, he initially worked an "optimizing simulator" project in the transportation industry.
Jared Dean
Director, R&D, 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.
Ed Hughes
Product Manager for SAS/OR, SAS
Ed Hughes 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 customers and salespeople to determine how SAS and SAS/OR can best address their needs.

Hughes has worked for SAS and has been involved with SAS/OR since 1986. He has an MS in operations research from the University of North Carolina-Chapel Hill and a BA in mathematics from Franklin and Marshall College. Hughes was previously employed by the MITRE Corporation in McLean, Virginia, and by UNC-Chapel Hill. When he's not working, he enjoys goaltending in ice hockey, sports announcing, softball, tennis, soccer, volleyball, reading, music and films.
Mahesh Joshi
Principal Research Statistician Developer, SAS
Mahesh Joshi is a Principal Research Statistician Developer in SAS Analytics R&D. He works on research and development of statistical modeling and forecasting software. His current research interests are in loss distribution modeling, high performance analytics, time series forecasting, and data mining. He has authored over 25 peer-reviewed publications and has been granted five patents in the United States. He holds a Master of Technology degree in Electrical Engineering from the Indian Institute of Technology-Bombay, and M.S. and Ph.D. degrees in Computer Science from University of Minnesota-Twin Cities.
Radhika Kulkarni, Dr.
Vice President, Advanced Analytics, SAS
Radhika Kulkarni, PhD, is Vice President of Advanced Analytics R&D at SAS. Kulkarni oversees software development in many analytical areas, including statistics, operations research, econometrics, text analytics, forecasting and data mining. In addition to supporting the core analytical tools from SAS, her team provides algorithms for analytical solutions in diverse application areas, including finance, retail, marketing, hospitality and supply chain. Her division is also responsible for the Advanced Analytics and Optimization Services team. This team is instrumental in facilitating the use of SAS/OR software and other analytical capabilities to address an ever-widening range of business problems. Kulkarni, who has been with SAS for more than 30 years, is on the board of directors for IDeaS, a SAS company. Kulkarni has a master's in mathematics from the Indian Institute of Technology, New Delhi, and a master's and PhD in operations research from Cornell University.
Robert Rodriguez
Senior Director, R&D, SAS
Robert N. Rodriguez is a Senior Director in SAS R&D 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 served as the 2012 President of the ASA.
Ken Sanford
Senior Research Statistician, Advanced Analytics R&D, 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 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.
Saratendu Sethi
Senior Director, Advanced Analytics R&D, SAS
Saratendu Sethi is Senior Director for Advanced Analytics at SAS. Sethi manages the software 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 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 Centre and Boston University, specializing in the use of statistical techniques for content-based search using statistical categorization and feature extraction techniques.
Udo Sglavo
Director, Advanced Analytics R&D, SAS
As Director of Forecasting R&D at SAS, Udo Sglavo heads up a team of statisticians and midtier developers working on the award-winning software for large-scale automatic forecasting called SAS Forecast Server. Sglavo helps to define the specifics of the forecasting product portfolio at SAS and the integration of forecasting technology into solutions and visualization products. He enjoys public speaking and talking to customers about how to apply analytics to solve business problems. Prior to SAS, he spent more than 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.
Wayne Thompson
Manager of Data Science Technologies, SAS
Wayne Thompson, Manager of Data Science Technologies at SAS, is a globally renowned presenter, teacher, practitioner and innovator in the fields of data mining and machine learning. 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, SAS High-Performance Data Mining and SAS Analytics Accelerator for Teradata). Current focus initiatives include easy-to-use, self-service data mining tools for business analysts, outlier detection and description, entity analytics, and recommendation engines with a heavy focus on highly interactive, in-memory analytics optimized for Hadoop.
United Kingdom
Babak Akhgar
Professor of Informatics and Director of CENTRIC (Center of excellence in terrorism, resilience, intelligence and organized crime research), Sheffield Hallam University
Babak Akhgar is Professor of Informatics and Director of CENTRIC (Center of excellence in terrorism, resilience, intelligence and organized crime research) at Sheffield Hallam University and Fellow of the British Computer Society. He gained considerable commercial experience as a strategy analyst and methodology director for several international companies. Akhgar has more than 100 referred publications in international journals and conferences on information systems with specific focus on knowledge management (KM). He has extensive hands-on experience in development, management and execution of KM projects and large international security initiatives with multimillion-euro budgets. Akhgar is the technical coordinator of an EU Security project called "Courage" on cyber-crime and cyber-terrorism with partners such as EOS and NATO CoE on cyber terrorism. He has co-edited a book titled Intelligence Management: Knowledge Driven Frameworks for Combating Terrorism and Organized Crime (Advanced Information and Knowledge Processing). His recent book is titled Strategic Intelligence Management: National Security Imperatives and Information and Communications Technologies. Akhgar is a member of the academic advisory board of SAS UK. He holds a degree from Sheffield Hallam University in software engineering, a master's in information systems in management, and a PhD in information systems.
Steve Morlidge
Independent consultant, author
Steve Morlidge has 30 years of practical experience designing and running performance management systems at Unilever, including three years as the lead of a global change project. He is a former Chairman of the European Beyond Budgeting Round Table and now works as an independent consultant for a range of major companies, specialising in helping companies break out of traditional, top-down command-and-control management practice with special emphasis on the role of forecasting at the interface between finance and supply chain. Morlidge's book Future Ready: How to Master Business Forecasting was published by John Wiley in 2010. He is a Visiting Fellow at Cranfield University, has a PhD in managerial cybernetics at Hull Business School and is on the editorial board of Foresight, a forecasting practitioners journal published by the International Institute of Forecasting, to which he regularly contributes. Morlidge is regularly engaged as a public speaker, drawing on his years of experience at the leading edge of performance management thought and practice.
Ian Pretty
Senior Vice President, Capgemini
Ian Pretty is the Senior Vice President and leader in Capgemini's Tax and Welfare business with a focus on creating new business in the UK, Latin American and North American markets. His current major area of focus is helping tax and welfare agencies become data driven and analytics enabled, with an emphasis on consulting and technology to support compliance, enforcement, tax evasion, benefits fraud, cyber security and public sector debt management. Pretty is a former senior civil servant in the UK with extensive experience across government focused on strategy, transformation and organizational development, particularly improving business performance. His various government positions provided wide exposure to influencing and networking. In the UK, this has included Downing Street, cabinet ministers, special advisors and Parliament.
Richard Self
Senior Lecturer, School of Computing, The University of Derby
Richard J. Self worked at Rolls-Royce plc for 30 years, gaining wide business experience in the aerospace world before moving to academia in 2002 to become a senior lecturer in the School of Computing at the University of Derby. During his time at Rolls-Royce, he led a small team of analyst programmers to create one of the largest project management systems in the world using SAS, which was capable of managing 500,000 activities per project using a combination of advanced prototyping and agile techniques. He is now leading the introduction of SAS into the curricula of one of the UK SAS Student Academy universities, and the development of a range of analytics-based degree programmes. His current research focus is governance issues raised by information technology in general and big data analytics in particular.
This list was built using SAS software.