, Data Miners
, University of Bath, UK
, Copenhagen Business School
, The Dow Chemical Company
, Eli Lilly & Company Limited
, Viseca Card Services
, Telecom Italia, Italy
Dr. Simon Cumming
, British Airways, UK
Agostino Di Ciaccio
, University of Rome
, Prestiamoci.it, Italy
, Telefónica O2
, TeliaSonera Sverige AB
, Deutsche Postbank AG
, Hospital Lucerne
, Telekomunikacja Polska SA
, SAS Institute, UK
, TeliaSonera Sverige AB
Dr. Simona Mariani
, ASL of Pavia, Italy
David Meintrup, PhD
, STATCON B. Schäfer, Germany
, University of Copenhagen
, London Fire Brigade
, Erste Bank Austria
, UNIQA Versicherung
, SAS Institute
, SAS Institute
, Sofrecom Poland
, AFA Swedish Labour Market Insurances
, LEGO Group
Sarah Van Laere
, Nuon Belgium
, NNE Pharmaplan, Denmark
Dr. Geert Verstraeten
, Python Predictions
With more than 20 years of experience in the pharmaceutical industry, Stuart Adlam
has held a variety of roles in sales, training and salesforce operations.
The deployment of CRM systems alongside the adoption of a multichannel approach to the customer has meant that Adlam's role as Business Analytics Manager is pivotal in the exploration of data to develop environmental and customer insight, enhance targeting strategies, and improve marketing effectiveness across channels and brands.
, together with his colleague, Gordon Linoff, has authored some of the most widely read and respected books on data mining
. These best sellers in the field have been translated into many languages. Michael is an active practitioner of data mining. His books reflect many years of practical, hands-on experience down in the data mines.
A data mining educator as well as a consultant, Michael is in demand as a keynote speaker and seminar leader in the area of data mining generally and the application of data mining to customer relationship management in particular.
Prior to founding Data Miners in December, 1997, Michael spent 8 years at Thinking Machines Corporation. There he specialized in the application of massively parallel supercomputing techniques to business and marketing applications, including one of the largest database marketing systems of the time.
Representative engagements include
- building a "best next offer" recommendation system to improve cross selling for a large US bank
- analyzing the performance of competing acquisition channels over time
- performing customer segmentation based on behavioral and demographic variables
- building a model to score the profit potential of any geographic area in the United States for a property and casualty insurer
- scoring customers for attrition risk for a credit card issuer
- analyzing web log data to characterize the differences between registered and unregistered users
- helping data mining software companies improve their products
- providing expert witness testimony and litigation support for law suits involving data mining.
got his MSc in physics from the ETH Zurich in 2000. He has nine years of SAS experience, primarily in financial services as well as in the airline industry. As a business analyst and data miner for Viseca, he is responsible for fraud detection. Viseca, one of Switzerland's largest credit card issuing companies, uses SAS in the fields of reporting, database marketing, risk analysis and fraud prevention.
has worked for Telecom Italia since 1989. He began his career in OSS development before moving in 1995 to the Network Planning Area. From 1995 to 2000 he was involved in economic issues related to TLC (especially industrial accounting). From 2000 to the present he primarily works in traffic analysis and capacity planning for TLC infrastructures and services. During the past two years, Cannas started a new project for improvement of forecasts quality for capacity planning.
Dr. Simon Cumming
has a degree in Natural Sciences from the University of Cambridge and a PhD in Cognitive Science from the University of Edinburgh. Simon has worked in Operational Research and Artificial Intelligence at British Airways since 1985, and is currently British Airway's leading data miner.
Agostino Di Ciaccio
is professor in the faculty of Statistics at the University of Rome "La Sapienza" in Italy. At the same university he earned his PhD in Methodological Statistics at the department of Statistics, Probability and Applied Statistics. His research interests concern Data Mining, Classification Methods, Non-Parametric Techniques, Cluster Analysis, Model Selection Methods. He has published over forty researches and applied papers on Journals or Conference Proceedings and two textbooks in Italian on statistical methods.
For about ten years he taught in the faculty of Economics at the University of Urbino and is now teaching Data Mining and Classification at the University of Rome "La Sapienza". He has participated in numerous international and national research projects. He is council officer of the Italian Statistical Society and chairman of the scientific committee of the next meeting "Statistical methods for large data sets".
is the co-founder and Chairman of Prestiamoci.it, a new Italian venture focused on the P2P lending market. He spent 17 years in the investment banking industry across Europe, mainly in the financial market industry.
Galvani was employed at Banca Sella Group in Italy, a privately held financial banking conglomerate, where he was the CEO of the Asset Management Company. In the spring of 2008, he decided to leave the banking sector and to implement, together with Mariano Carozzi, a new P2P project focused on the lending markets.
, Senior Project Manager, Business Intelligence Centre, worked for two years in the area of analytical CRM. He developed BI concepts to optimise customer-related processes for retention and churn management, customer services and risk prevention. Since 2007, Gimber has been in charge of strategic analytical activities within Telefónica O2
Germany. He coordinates and manages projects in the context of data mining and forecasting.
is Professor of Management Science in the Management School at the University of Bath (UK). He has a degree in Economics from the University of Liverpool, a Masters degree in Management Science from the University of Warwick and a PhD in Management Science from Lancaster University. His research interests concern the role of management judgment in forecasting and decision making and he has published three books, and over thirty research papers in journals. In addition, he is an Associate Editor of the International Journal of Forecasting
and three other international journals and a Director of the International Institute of Forecasters. With a colleague at Lancaster University, he has just completed a large UK government funded research project that investigated the use of forecasting systems in supply chain companies.
, Senior Dataminer, Broadband Direct Marketing, is responsible for data mining and campaign management activities with TeliaSonera Sverige AB. He has worked with customer intelligence and data mining projects including implementation and development of campaign management tool as well as predictive modeling. Peter Gustafson is currently finishing his degree in Statistics at the University of Gothenburg.
works in the department for customer relationship management at Deutsche Postbank AG, the leading retail bank in Germany. The company, based in Bonn, boasts 14.1 million active customers. After studying in Hamburg; Madison, WI; and Bonn, Hofner earned a degree in mathematics from the University of Bonn. He is now responsible for the scoring, customer segmentation and model validation processes for Deutsche Postbank AG's CRM.
has an MD from the University of Basel (1990). He has been working as a surgeon for nine years in several hospitals in Switzerland, and has a specialist in surgery from the Swiss Medical Association (1997) and holds a bachelor's in computer science (2007). Since 2002 Stefan Hunziker has been working at the Hospital Lucerne as Head of the Department of Clinical Systems, a section of the medical staff department. The main tasks of the department are project management, application support and development and process engineering.
holds a master's degree in quantitative methods and information systems (Warsaw School of Economics, Poland) and has more than 10 years of experience in telecommunications. Kosinski started his career as a Market Analyst at PTC SA one of the biggest Polish mobile phones operators (T-Mobile Group). At Aster SA, he gained additional experience with bundled telco offers (cable TV, Internet, fixed phone line) working as Marketing Analysis Manager responsible mainly for management reporting, pricing strategy, and product and network development. Kosinski joined TP SA in 2003. He is a Project Manager in the Department of Planning and Strategic Analysis, and he takes care of new data warehouse deployment and BI development. He also managed development and designed several analyses of the data mining churn prediction model for SoHo and SME, which constitutes a basis of the proactive retention solution in TP SA. He is married and has one child.
is a analytical consultant with the SAS office in the UK. She holds a degree in applied statistics and has worked with SAS for 6 years, 3 years of that time was spent delivering standard and customized SAS Analytical courses including Statistics, Data Mining, Credit Scoring to SAS customers across all industries. Joanna has spoken at a number of user events on topics such as 'Data Preparation for Analytics', 'Extending Enterprise Miner' and 'Analyzing Survey Data'. She has also been involved in opportunities around constraint based optimization and simulation.
Joanna's recent projects include developing a churn model for an on-line betting company, drug sales variation and forecast modeling for large pharmaceutical organizations, scorecard development on web based quotation data for an international insurance company, along with credit scorecard projects for a number of global banks.
earned his Ph.D. in Political Science at the University of Copenhagen.
He became an associate professor of Political Science at the University of Aarhus, and served as Director of Denmark's national Environmental Assessment Institute. He currently serves as Director for the Copenhagen Consensus Center.
Lomborg is adjunct professor at the Copenhagen Business School and author of the best-selling The Skeptical Environmentalist
in which he challenged mainstream concerns about the environment and pointed out that we need to focus attention on the most important problems first.
, Senior Dataminer, Broadband Strategy & Portfolio, is responsible for data mining activities with TeliaSonera Sverige AB. He has worked with customer intelligence and data mining projects including dm-tool evaluation, dm-tool implementation, database administration, predictive modeling, and evaluation of data mining methods with both TeliaSonera Sweden and TeliaSonera Finland. Riku Mäkeläinen has a M.Sc in mathematics from the University of Turku.
Dr. Simona Mariani
is the Managing Director (CEO) of Azienda Sanitaria Locale of the Province of Pavia (ASL of Pavia), the public company dedicated to healthcare governance for approximately 500,000 citizens. Until 2007, Mariani was head of ASL of Como, and earlier of ASL of Lodi. Previously, she worked as a manager for private companies and was a member of the regional council of Regione Lombardia for five years. Mariani earned her law degree at the La Sapienza University of Rome.
runs forecasting and traffic analysis for EUROCONTROL, the European air traffic management organization. Over the last seven years he has introduced both short- and long-term traffic forecasts, as well as overseeing an overhaul of the medium-term forecast that EUROCONTROL has been producing since the late 1960s. After a degree in philosophy and mathematics and a PhD in pure math, David's career started in a technical consultancy area working on operations research and cost-benefit analysis. He then spent six years running real-time trials of tools for air traffic controllers before moving to Brussels. Along the way he earned an MSc in applied statistics.
David Meintrup, PhD
, is a statistical trainer and consultant at STATCON, a statistical consulting company and a SAS partner for JMP consulting and training. He studied mathematics and physics at the University of Münster and received his diploma in 1997. He continued with his studies at the University of Münster and completed his PhD in pure mathematics in 2000. During his graduate studies he was awarded a one-year research fellowship for the University of Colorado, Boulder, where he studied classifying spaces. His current work at STATCON focuses on training and consulting scientists and engineers from research and development divisions, e.g., in the semiconductor, solar and pharmaceutical industries. The wide range of his courses covers statistics, statistical quality control and design of experiments.
is a theoretical statistician at the University of Copenhagen with a PhD in time series analysis. He has taught and researched in academica for more than 25 years, mostly with applications of statistics in the various fields of economics. He is the author of many Danish textbooks in statistics and in the SAS system.
has more than 14 years of experience in the Fire and Rescue Service and is currently Risk Information Manager at London Fire Brigades. Mobbs' previous roles have included policy and administration of Fire Safety Regulation and leading organisational performance reviews covering areas of governance, communications and incident commands.
As part of a wider Information Management department, Mobbs leads a team of analysts who are responsible for developing and creating innovative analytical solutions to operational problems.
graduated in 1979 with an MS in Forestry Biometrics from Michigan State University. He joined Dow in the summer of 1979 in the Math Applications group in Central Research as a Research Statistician. While in the Math Applications Group, Tim conducted projects, consulted, taught and developed linear statistical methods at most of Dow's North American sites. From there he went on to supervise the Math Applications group in 1985 and then on to manage the Research and Technical Applications group in Central Research in 1987. In 1988 he took on the technical management role for the SimuSolv nonlinear simulation, optimization and estimation commercial software development effort in Dow's Central Research organization. Here he conducted joint research with universities to develop nonlinear statistical methods for experimental design and maximum likelihood estimation. At that time he was also responsible for Dow's Quality program in Central Research. In 1996 Tim moved to Dow's Marketing
and Sales Expertise Center where he led the development of Dow's Customer Loyalty program and was also the lead Marketing Research process owner. In 2005 Tim became the manager of Dow's Data Mining and Modeling group situated in Dow's Six Sigma Expertise Center. Tim has written over 100 internal papers as well as published 15 papers externally. He has delivered numerous talks at various quantitative methods forums.
is a data mining expert in the field of analytical CRM with Erste Bank Austria. Erste Bank is one of the largest retail banks in Austria and CEE. Schierer is responsible for the whole area of data mining such as data preparation, analytics (customer segmentation and predictive modelling for churn prevention or cross-selling). Schierer is also responsible for the application of these predictive models to marketing campaigns. Schierer joined Erste Bank in 2002 after obtaining a master's degree in statistics from the University of Vienna.
, a native of Vienna, Austria, studied informatics, economics and insurance mathematics at the Technical University of Vienna and at the University of Economics in Vienna. He has been working in the insurance business for more than 12 years, starting at Allianz Insurance in South Africa. During his time with Allianz Insurance in Austria, Schmölz became part of the Austrian actuarial society. From 2002 to 2003 he was responsible for reinsurance and the non-life actuarial department at AXA Insurance Austria. In 2004 he became head of the customer intelligence department at Uniqa Insurance Austria. During his time in the insurance business, Schmölz mainly focused on tariff calculation, analytical CRM and predictive modelling. Schmölz lives in Vienna with his wife and two children.
has been at SAS for 10 years now holding a variety of roles in multiple countries.
Prior to joining SAS, Sascha studied Meteorology at the Humboldt-University of Berlin in Germany, where he also did his doctoral thesis in 1995. After this he worked on scientific research projects where he applied numerous methods of statistical modeling to climatological and environmental problems investigating the impact of climate change predictions on the economy of developed countries such as Germany, Australia and the United States.
In 1997 Sascha moved over from academia into the private industry and he began his career with SAS in the SAS Australia office. There he worked for a year in Technical Support. With the first release of Enterprise Miner in April 1998 he became the Product Manager for this product for the ANZ region.
In May 2000, Sascha transferred to SAS' EMEA headquarters in Heidelberg. As the Product Manager for Data Mining, Schubert has been applying data mining techniques to address specific business challenges in various industries, including: banking and finance, telecommunications and the public sector. His responsibilities involved product management, product marketing and strategic as well as technical sales support of the SAS Data Mining Solution in EMEA.
Sascha has been supporting SAS EMEA customers in solving business problems such as: customer attrition and churn, cross-selling, customer segmentation and market basket analysis. Other main areas of his analytical expertise are fraud detection and anti-money laundering. He also provides direction and support to the Research & Development team to ensure that market requirements are reflected in product development.
Sascha has always been closely engaged with customers and the SAS analytical field staff in the EMEA region but also in other regions of the world. He has been a SAS Spokesperson for the area of Data and Text Mining and in this role has been numerous engagements with the press, analysts and also spoken at SAS events as well as external conferences.
has been at SAS since 2001 and has been involved with SAS 9 almost since its inception. He has made significant contributions in product management of the analytics components of the SAS Enterprise Intelligence Platform - which includes SAS Forecast Server, SAS/ETS, SAS/OR and SAS Enterprise Miner. Prior to SAS, Udo spent over 5 years providing and consuming advanced analytical content and solutions to various enterprises ranging from Fortune 500 companies to internet startups. He received his diploma in mathematics from the University of Applied Sciences in Darmstadt, Germany. He enjoys public speaking and working with customers to show how SAS can be utilized to solve their analytical challenges. Udo is also a member of the practitioner advisory board of Foresight magazine, published by the International Institute of Forecasters.
As a graduate of the University of Applied Sciences, Darmstadt, Germany, with a diploma as "Diplom-Mathematiker," Udo has been using SAS from the early days of his education and as a major component of his final thesis ("Visualization of Nonlinear Optimization Problems using SAS/OR and SAS/AF"). Udo joined SAS Europe in Heidelberg in 1996 as an applications developer working on the SAS Neural Network Application, which was superseded the neural networks note of SAS Enterprise Miner. As part of this re-organization Udo moved on to EMEA Technical Support to establish the second level support for SAS Enterprise Miner, but also helped supporting products like SAS/ETS, SAS/STAT, SAS/QC, SAS/OR and SAS/INSIGHT.
In 1999 Udo joined a start-up company called IMOS Consulting, which focused on providing services for Business Intelligence and Advanced Analytics. Together with the 2 founders Udo helped develop IMOS from a three-employee-only company to a SAS and IBM consulting partner with 20 employees in Switzerland and Germany. He was responsible as the director of the business unit analytics to develop and grow his unit. As one of the leading consultants he was also responsible for a group of 3 analytical consultants (focusing on data mining and optimization projects). One of the common accounts of IMOS and SAS, Meyer Werft, a ship yard in Germany, received a price for "innovative business applications"
by SAS Germany in 2006.
When SAS offered Udo the role of the product manager in EMEA Strategy for SAS High-Performance Forecasting in 2001 he decided to return to SAS picking up this new challenge. He helped collecting and providing feedback from the field and from early adopters on this first release of an automatic, large-scale forecasting product, which eventually was included and extended by SAS Forecast Server. Together with WWM Udo helped launching SAS Forecast Server in 2005 and was one of the main resources for rolling out the product both in EMEA and APAC. He also adopted responsibilities for SAS/OR, which he helped re-launching only recently. In 2005 Udo was asked to supervise a new team for Supply Chain Analytics, which covered solutions like SAS Warranty Analysis, SAS Inventory Optimization, and SAS Service Parts Optimization.
Udo has been a speaker at numerous SeUGIs (and SAS Forum International), regional User Groups, and SUGIs (now SAS Global Forum), but also at events of the Institute of Business Forecasting and the University of Darmstadt. He has handled numerous on site customer engagements, has written and reviewed numerous whitepapers and spoken at both a technical and management level to many organizations.
holds a master's degree in quantitative methods and information systems (Warsaw School of Economics, Poland) and is now a PhD student at Warsaw School of Economics at the College of Economic Analysis. Some of his research has already been presented at SAS, as he was a SAS Student Ambassador at SAS Forum International 2006 in Geneva. Stepien has more than five years of professional experience in business intelligence. He started his career at Procter & Gamble in the Global IT Department. At Infovide-Matrix, he was responsible for solution development and project management of analytical CRM endeavors, mainly in the telecommunications industry, but also in retail and banking. Stepien joined Sofrecom Poland (France Telecom Group) in 2006. Currently as a consultant he is responsible for project management, statistical analysis, design and implementation of analytical CRM solutions in TP Group, especially in the areas of customer retention and customer segmentation. He
was a project manager from the supplier side, lead architect and programmer of the data mining churn prediction model for SoHo and SME.
has a PhD in economics from the University of Gothenburg (2004), with a thesis that analysed the labour market integration of immigrants. Different aspects of this work include educational choice, transition from school to work of Swedish youngsters and second-generation immigrants as well as income assimilation of immigrants in Sweden.
Then he worked at the Swedish Insitute for Food and Agricultural Economics where he was focused on which characteristics make agricultural workers stay in the agricultural sector, on the survival analysis of farms, on the conditional probability for young agricultural workers of leaving non-employment in any particular year out of work, and on earning dynamics in the agricultural sector in Sweden. He also developed and used the agricultural sector model CAPRI to make scenario analyses for 2020 related to bio energy production. Currently Kerem works as a senior statistician in AFA Swedish Labour Market Insurances. His work there also involves preventive research about work related incidents.
Kerem has three articles published in International Review of Applied Economics, Applied Economics and European Review of Agricultural Economics.
is Manager for Global Forecasting in the LEGO Group where he is responsible for the Demand Planning Process, forecasting performance measurements, and statistical demand modelling. He has published in Foresight (The International Journal of Applied Forecasting) about how to advance forecasting performance measurements beyond MAPE and spoken at several forecasting forums about this topic. Previously he has worked with performance measurement for a leading European consultancy firm which specializes in analysis of intangible assets. Lauge Valentin received his MSc degree in Economics and Business Administration from the Aarhus School of Business (part of Aarhus University) in Denmark.
Sarah Van Laere
is a SAS expert who has acquired her skills in past jobs as an analytic consultant and as a risk modeler at Fortis Lease. She is currently driving the analytics initiatives as a Customer Insight Expert at Nuon Belgium. Her paper already received warm feedback at both the local Belgian and Slovak SAS Forums.
holds a PhD in materials science and an MSc in experimental physics. He leads NNE Pharmaplan's Applied Manufacturing Science team as a data analysis expert and has more than 20 years of experience in various industries. Per has worked with Six Sigma in new businesses and has a proven track record of bringing products rapidly from the research phase to the quality-controlled production phase by the use of Six Sigma tools, especially DoE and SPC. Per has a proven track record in combining compliance efforts with process optimization efforts within the manufacture of medical devices, ensuring both high quality and low costs.
Dr. Geert Verstraeten
is a partner at Python Predictions, a Belgian niche player with expertise in the domain of customer intelligence. He currently has eight years of hands-on experience in different industries such as retail, mail order, telecom, banking, utilities and subscription services. More specifically, his interests lie in delivering high-performing yet interpretable predictions of future individual customer behaviour.
In 2005, Verstraeten obtained a PhD in applied economics at Ghent University, Belgium. His thesis is entitled Issues in Predictive Modeling of Individual Customer Behavior: Applications in Targeted Marketing and Consumer Credit Scoring
. He has published different scientific studies in peer-reviewed journals, and has presented on a number of business and academic conferences.
Python Predictions was founded in April 2006, and is currently active in retail and distribution, telecom, financial services and postal services in the Belgian market.