The speaker list is updated frequently so be sure to check this page often.
, Senior Methodology and Validation Manager, Raiffeisen Bank
, Principal Solutions Architect, SAS
, Senior Manager, Retail Risk Methodology and Validation, Raiffeisen Bank
, Professor, K.U. Leuven and Lecturer, University of Southamptom
, Director of Fraud Solutions, Advanced Analytics Business Unit, EMEA & AP, SAS
, CFO, Escapo
, Partner, 4C Consulting
, Senior Business Solutions Manager, SAS
, Consultant, SAS
Andreas Gonzalez Montoya
, Strategy and Analytics Manager, Colpatria - Scotiabank
Heidi Juul Madsen
, Head of Secretariat, Odense Municipality
Grégoire de Lassence
, Pedagogy and Research Manager, SAS
Ariane Liger-Belair Sioufi
, Director of Academic Program, SAS
, Assistant Director for Advanced Analytics, Teradata
, Senior Statistician, Revenue Irish Tax and Customs
Alejandro Correa Bahnsen
, Luxembourg University
, Lead Data Scientist, ConocoPhillips
Michelle L.F. Cheong
, Associate Professor of Information Systems, Singapore Management University
Prof. Machiel Kruger
, Head of SAS Lab, Centre for Business Mathematics and Informatics at North-West University
, Forecast Optimisation Model Lead, RWE npower
, Analytics Specialist, SAS
, Analytical Consultant, SAS
Dr. Sven F. Crone
, Director, Lancaster Centre for Forecasting, Lancaster University Management School
, Solution Architect, IBM
, Principal Operational Research Consultant, British Airways
, Strategy Practice Leader for Business Analytics and Optimisation; Associate Partner, IBM
, Forecast Optimisation Manager, RWE npower
, Head of Data Science in EMEA, Pivotal
, Principal Research Statistician, SAS
, Head of Global Tax and Welfare Practice, Capgemini
Lt. Col. Daniel Reyland RLC
, SO1 Manpower Assessments, Army HQ
, PhD Student, School of Mathematics, Cardiff University
, Principal Analytics Specialist, SAS
, Portfolio Analytics Manager, Royal Bank of Scotland
, Director, Product Management, SAS
, Principal Software Developer, SAS
, Principal Research Statistician Developer, SAS
, Senior Manager, Advanced Analytics R&D, SAS
, Technical Consultant, SAS
, Analytics Product Manager, SAS
, Principal Product Manager, SAS
Professor Bart Baesens
is an associate professor at K.U. Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on predictive analytics, data mining, 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 international top 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 data mining, predictive analytics, and credit risk management policy.
For more details, see www.dataminingapps.com
, Twitter: DataMiningApps, Facebook: Data Mining with Bart
Alejandro Correa Bahnsen
has several years of experience in banking analytics, applying data mining models in a variety of areas from advertisement to credit risk. He is currently working in a project to develop an advanced analytics system for credit card fraud prevention for Cetrel, the major card processing enterprise in Luxembourg, in partnership with Luxembourg University. In this role, he is modifying state-of-the-art machine learning algorithms by adjusting them to the particularities of credit card fraud. He is also in charge of developing intelligent reporting for supporting the card management team.
Bahnsen is also an experienced lecturer in basic and intermediate econometrics. Over the last couple of years. he has been an active member of the SAS community, presenting papers and talks at meetings including the Analytics Conference Series, SAS Global Forum and SAS regional forums. He has also presented papers at more technical meetings, such as IEEE International Conference in Data Mining. Bahnsen holds an MS in industrial engineering from Los Andes University, and he is working toward a PhD in pattern recognition from Luxembourg University.
After graduating with mathematics (BSc) and investments (MSc) degrees from Birmingham University in 2007, Steven Baker
joined HSBC Finance Corp., where he worked for 18 months as a business analyst in collections strategies. He has been part of RWE npower's Volume Position Management department for almost four years, and today works in the role of Model Lead. A key responsibility is the build and recalibration of forecast models (using SAS) that predict gas and electricity demand outturn for npower's portfolio of UK customers.
Dr. Iain Brown
is an Analytics Specialist Consultant and Credit Risk expert working in the Analytics and Innovation Team for SAS UK. Prior to joining SAS, Iain worked for one of the largest UK retail banks as a Basel Risk analyst in the Decision Sciences department.
Iain received his Ph.D. in Credit Risk Modelling from the University of Southampton in 2011 and his MSc in Operational Research from the London School of Economics (LSE) in 2007. Whilst studying for his Ph.D., Iain also taught SAS programming for MSc level courses in the schools of Mathematics and Finance.
is CFO at Escapo Group, with more than 20 years of experience in the financial and logistics environment. He is also a former head of IT. Escapo Group is wholesaler/distributor of pharmaceutical and parapharmaceutical products, and offers over 100 local pharmacies and 50 homecare shops an assortment of 80,000 products from 600 suppliers. As a cooperative organization, it had to address specific challenges. In particular, the demand for top-level service was requested from the central services, which could be supported through the help of SAS and 4C Consulting.
Dr. Michelle Cheong
is Associate Professor of Information Systems (Practice) at the Singapore Management University and Director of the School's Postgraduate and Professional Programs. Cheong has worked eight years in the industry, developing and implementing enterprise IT solutions for manufacturing companies. She led teams to develop complex, enterprisewide IT systems covering business functions from sales to engineering, including inventory management, planning, production, and distribution. She has consulted for precision engineering, printing, aerospace and brewery companies in business process re-engineering for IT solutions implementation. At SMU, she teaches the undergraduate- and master-level spreadsheet modelling courses, covering financial modelling, innovation modelling and myriad other problems. Recently she has designed and launched a new course in operations focused data, analytics and IT using data and decision analytics to solve operations-related problems, including demand
forecasting, inventory management, distribution management, resource planning and allocation, workforce planning and scheduling, and queue management. Her research focus includes predicting the presidential election results using Twitter data, and developing demand-type identification methods for forecasting, airport operations optimization, and supply chain optimization.
Dr. Duncan Cleary
is the Senior Statistician in the Irish Revenue, and is an internationally recognised thought leader in the use of advanced analytics in tax and customs administrations. He specialises 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 and real-time risk. Duncan manages Revenue's Graduate Analytics Internship programme, 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.
has more than 15 years of experience in the consulting sector and is a Partner at 4C Consulting, the leading customer interaction firm in Belux. He leads the customer insight unit, next to the change management unit. SAS' partnership with 4C remains vital for customer insight, and will remain so in the future.
4C Consulting won the 2012 BI Vision Award together with Escapo on the "Demand Forecasting project" with SAS. Cogghe is also a guest lecturer in CPM, both nationally and internationally.
is an analytical consultant for the EMEA Professional Services and Delivery team with a core focus on SAS Analytics and SAS High-Performance Analytics solutions. He supports SAS professional service engagements by designing, building and implementing customer solutions. His duties also include understanding a client's business pains, translating them into requirements for software solutions and taking them forward in the implementation phase. He develops analytical solutions using knowledge of analytical methods and related SAS procedures and products, as well as delivering several SAS analytical training courses.
Costigliola is currently a PhD candidate at the University of Napoli Federico II, Italy. His PhD program is in statistics with a focus on computational statistics.
Dr. Sven F. Crone
is the director of the Lancaster Centre for Forecasting, and works as an Assistant Professor at Lancaster University Management School, UK. In addition to numerous publications in esteemed journals, Sven has over 15 years of expertise in corporate business forecasting. He has widely consulted on corporate projects through the centre, in particular in supply chain forecasting for FMCG manufacturers, retail forecasting, as well as utilities and energy forecasting. His expertise ranges from improving software systems such as SAP APO-DP, to developing bespoke forecasting methods and model selection routines. Sven has presented the Centre's innovations and projects at 50+ international conferences, including keynotes at the SAS F2006 & F2008 Business Forecasting conferences and A2012 Analytics conferences, track speeches at APICS 2006 global conference, and annual appearances at IBF and ISF conferences. He frequently provides training courses for the centre, IBF and
IEEE, educating over 400 demand planners on Forecasting Fundamentals, Statistical Forecasting with SAP APO-DP and Forecasting with Neural Networks all over the world.
Grégoire de Lassence
has managed the pedagogy and research development of the SAS Academic Program in France, with universities, engineering and business schools, since 2002. His teaching specialty includes business analytics, CRM and performance management. He mainly teaches in master's degree levels, supports academic customers and publishes with researchers in various areas such as customer intelligence, data mining and text mining. De Lassence graduated from the University of Clermont-Ferrand in 2002 with a master's degree in business analytics and information systems (SIAD).
is a Solution Architect in IBM's Business Analytics and Optimisation practice. He has worked with many organisations to help shape and refine approaches to data analytics and data fusion. Doyle holds a master's degree from University College London and is an Honorary Research Fellow at the Centre for Advanced Spatial Analysis. He is also a Chartered Geographer and Fellow of the Royal Geographical Society. He is a two-time recipient of the AGI Award for Innovation for work in data visualisation and in the development of perils analysis for UK insurers. Doyle has worked with SAS technologies for several years, having led major data fusion projects in UK government.
works at Raiffeisen Bank International as a Senior Methodology and Validation Manager. Felszeghy is responsible for retail credit risk models and IRB compliance in selected subsidiaries of Raiffeisen Group within the CEE and SEE region. He has six years of experience in the area, previously heading Credit Risk Controlling for Raiffeisen Bank Hungary, where he was in charge of the bank's Basel compliance, capital management and credit risk model developments. Felszeghy also applied risk models in steering actions and portfolio optimization. He has a PhD in mathematics and a master's degree in bank management.
Andres F. Gonzalez
is the Strategy and Analytics Manager at G&C Colpatria from the Scotia Bank group in Bogota, Colombia. He has extensive experience in banking analytics and has solved many challenges in different fields of his organization - from credit risk management to customer relationship management - by improving and customizing different analytics techniques such as scorecards, cluster analysis and genetic algorithms. Also, he has experience using leading statistical software, including SAS, SPSS and R.
For the second consecutive year, Andres is an invited speaker at SAS Global Forum. Recently, he was also an invited speaker at the Analytics 2012 Conference in the US, and he presented a paper at the IEEE data mining workshop in 2011. At SAS Global Forum 2011, he won the award as the best contributed paper for data mining and text analytics for his paper about the use of genetic algorithms to optimize the architecture of a multilayer perceptron neural network. He has a BS in industrial engineering and an MS in industrial engineering with a major in operations research and statistics from the Universidad de los Andes in Colombia.
has a background in physics, with a bachelor's in natural sciences from Cambridge followed by master's in optics and photonics from Imperial College London. After a year working for the scientific journal Nature
, he moved to the DWP in 2003, initially working on providing briefing to ministers. Since then Jackson has moved through a series of increasingly technical roles before assuming his current position.
Over the past few years DWP has made increasing use of dynamic microsimulation techniques for forecasting and policy development using Genesis, its in-house SAS based architecture. Jackson works specifically on developing and improving the INFORM model which is central to DWP expenditure forecasts and on extending it to model the new Universal Credit, one of the largest and most complex changes to the welfare system since its inception nearly 70 years ago.
is the head of the SAS Advanced Analytics Lab in the Centre for Business Mathematics and Informatics at North-West University, Potchefstroom Campus. He has three years' experience as a civil engineer and has taught civil engineering and mathematical subjects for seven years. He worked for five years on South Africa's space program, where he was responsible for the determination of optimal guidance laws for a satellite launcher and satellite orbit determination calculations. After the termination of the space program, he lectured computer programming and mathematical programming to undergraduate and postgraduate students before taking over as head of the SAS lab.
Kruger's research interests include portfolio optimization; stochastic programming; yield curve estimation and simulation; arbitrage-free scenario generation for integrated risk management; modeling of default probability; balance sheet simulation and optimization; and variable selection for high-dimensional problems. He has been involved in a number of consultation projects covering optimal hedging of a bank's banking book, economic capital and stress testing of a retail portfolio and cash flow modelling for specialised lending deals. He holds a PhD in computer science from Potchefstroom University.
is an IBM Associate Partner and is the Strategy Practice leader for Business Analytics and Optimisation. He holds a degree in computing for business. He is responsible for a multidisciplinary team who provide advice and services to a range of IBM clients. Mills has more than 15 years' experience in complex data and business intelligence deliveries and reviews across multiple industries and sectors - with a particular focus on insurance and financial services. He has worked with a range of senior stakeholders and business leaders to deliver innovative, relevant and achievable analytics capabilities.
has worked for RWE npower, a leading UK gas and electricity supplier, since graduating in economics in 2006. Mortimer 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 minimise imbalance costs. More recently, he has been leading the Forecast Optimisation 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.
is Head of Data Science in EMEA for Pivotal. His experience lies in predictive analytics, and he has worked on a wide variety of assignments such as customer churn reduction, customer proposition optimization, pricing, HR analytics, logistics and supply chain optimization. He has also worked on more industry-specific issues such as telecoms network deployment optimization and health insurance claims optimization.
Natusch holds a PhD in theoretical physics from the University of Cambridge and an MBA. He is a Fellow of the Royal Statistical Society and lectures at the Open University.
is an Integrated Information Specialist at ConocoPhillips. He has worked at ConocoPhillips since 1995. During these years he has been designing and implementing with data warehouses, analytics, performance reporting and integrated planning in fields including safety, maintenance, production and process data. Navestad has worked with SAS since 1993, using the whole SAS platform.
is the head of Capgemini's Global Tax and Welfare Practice. He has a senior leadership role in creating new business in existing and new markets. A former Senior Civil Servant, he brings extensive experience across Government strategy, transformation and organisational development with a focus on delivering improved business performance. He has provided wide exposure to influencing and networking across Government. In the UK this has included Downing Street, Cabinet Ministers, Special Advisors and Parliament. He has an in-depth understanding of managing the commercial sector's relationship with Government particularly in the area of outsourcing.
is a second-year PhD student in the School of Mathematics at Cardiff University, UK. After graduating from the University of Warwick with a bachelor's degree in mathematics and statistics, Rowse earned an MSc with Distinction in operational research and applied statistics at Cardiff University. As part of the MSc, Rowse undertook a project working with the district nursing service in Cardiff, developing a workforce planning tool for which she was awarded a prize from SAS UK and was runner-up for the Operational Research Society's May Hicks award for best UK MSc dissertation. She is currently working closely with a local health board as part of her PhD research in operating room planning and scheduling.
is Assistant Director for Advanced Analytics on the Teradata International Data Science team. He focuses on demand creation across the EMEA and APJ regions. Säuberlich previously worked at Urban Science International, where he was Regional Manager responsible for customer analytics. He worked with client teams around the globe to implement analytical solutions and pioneered new types of analysis to improve the efficiency of automotive clients' marketing efforts. Prior to that, he was responsible for the Urban Science Customer Solutions practice in Europe. Before joining Urban Science, Säuberlich was a Senior Technical Consultant for data mining at SAS in Germany. In that position, he focused on e-intelligence and CRM, in addition to data mining topics. Säuberlich has written numerous articles that have been published in journals, refereed proceedings and books. He also has spoken frequently at scientific conferences and is a member of the German
Classification Society. He holds a doctorate in economics and a master's degree in economic mathematics from the University of Karlsruhe.
is Director of the French SAS Academic Program, driver of the SAS South West Region and Co-Chair of the SAS Global Academic Program Council. She founded this program in France in 1999. Under her direction, it has become one of the models for the rest of the company. Skills in big data and big data analytics are in increasing demand across the world, and the Academic Program exists, among others, to address this issue for SAS customers and partners and SAS itself. Sioufi graduated from the American University of Paris in 1990 with a BA in international business and administration.
Dr. Gerhard Svolba
is a Senior Solutions Architect and analytic expert at SAS Austria, where he specializes in analytics in different business and research domains. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across industries. He is the author of Data Preparation for Analytics Using SAS
and Data Quality for Analytics using SAS
, and he teaches a SAS training course called Building Analytic Data Marts.
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.
works at Raiffeisen Bank International as a Senior Manager in the Retail Risk Methodology and Validation department. She focuses on overall compliance with Basel requirements and supports Raiffeisen Group subsidiaries by developing and monitoring retail credit risk models. Varabei has five years of analyst experience from working in the Retail Risk departments of General Electric Money Bank in Hungary, Latvia and Denmark. She has a master's degree in applied economics.
is the Product Manager responsible for the SAS High-Performance Analytics Server. 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. Wexler is an experienced statistician with more than 15 years using SAS and several years working with databases and business intelligence systems.