Frank H Bria
Bria Analytics Group
Frank Bria is a Research Director in TowerGroup's Retail Banking & Cards practice specializing in research and advice on banking analytics and consumer lending. The topics he covers include marketing, risk, and operational analytics as well as business processes associated with consumer lending, risk management, and pricing. Frank has 15 years' experience in the financial services sector involving data analysis, loss forecasting, marketing analytics, and technology process design supporting retail banking.
Frank has been a featured speaker and contributor at a number of industry conferences, including the Mortgage Bankers Association's Mortgage Servicing Conference and financial services pricing events throughout the United States and Asia. He has been quoted in the media on pricing and loss mitigation.
Frank holds a Master of Science in mathematics from Purdue University and a Bachelor of Science in mathematics from Brigham Young University. He is a certified Six Sigma Black Belt.
• Multiple Case Studies: Commerzbank, Lloyds, Ursus Advisor
Optimization in Financial Services
Medway Youth Trust
Graham Clewes has the privilege of being the Chief Executive of Medway Youth Trust and has been so since February 2009. This follows over twenty years working within young people's charities and prior to that, insurance broking in the City.
One of the best parts of his role at MYT is the 'can do' attitude of all his staff and volunteers. Much of the drive for this innovative data mining and propensity modelling work has come from their Data Quality Manager, Gary Seaman. Like many of their staff, Gary proposed an innovation and Graham's role was to help make things happen when he saw that they could genuinely help improve young people's life chances.
• Case Study: Medway Youth Trust Predictive Analytics Helps Medway Trust to Reduce Youth Unemployment
Ian Cox, Ph.D
JMP Senior Director Marketing
Ian Cox, PhD, currently works in the JMP division of SAS as the Marketing Manager for Europe. He has worked for Digital and Motorola, was a Six Sigma Black Belt and also worked with Motorola University. Before joining SAS 10 years ago, he worked for BBN Software Solutions Ltd. and consulted with many companies on data analysis, process control and experimental design.
Cox is part of the SPIE organizing committee for process control and referees related papers for the IEEE Transactions on Semiconductor Manufacturing. He is the associate editor of Applied Stochastic Models in Business and Industry (Wiley Online) and has been a Visiting Fellow at Cranfield University. Cox is a Fellow of the Royal Statistical Society in the UK and a member of its Committee of the Statistical Computing Section. He has a PhD in theoretical physics.
Prof. Dr. Sven Crone
Lancaster Research Centre for Forecasting
Sven F. Crone is an Assistant Professor in Management Science at Lancaster University, UK, where his research on forecasting with artificial intelligence has resulted in 40+ peer reviewed articles (including EJOR, JORS, IJF) and received international awards. As the Deputy Director of the Lancaster Centre for Forecasting, with 15 members of staff & PhD students one of the largest units dedicated to business forecasting, Crone has more than 10 years of consultancy experience in corporate projects, including supply chain forecasting (e.g. Beiersdorf, Sanofi-Aventis, Bayer, Celanese, Hapag-Lloyd), retail forecasting (e.g. Tesco, Morrisons, Sainsbury, Wilkinsons), and utilities demand and price forecasting (e.g. DONG, Codelco). Crone regularly provides corporate training courses for the Forecasting Centre, IBF and IEEE worldwide as well as custom-made in-house courses. He has been a regular speaker at 50+ academic and practitioner conferences, including different keynote lectures.
Keynote Big “Time Series” Data – What Forecasting can learn from Predictive Analytics (and vice versa)
Dr. John Elder
CEO & Founder
Dr. John Elder heads the US's largest and most experienced data mining consulting team -- with offices in Charlottesville Virginia, Washington DC, and Baltimore Maryland. Founded in 1995, Elder Research (www.datamininglab.com) focuses on investment, commercial and security applications of advanced analytics, including text mining, credit scoring, image recognition, production optimization, cross-selling, drug efficacy, market timing, and fraud detection.
John earned Engineering degrees from Rice University and the University of Virginia, where he's an adjunct professor teaching Optimization or Data Mining. Prior to 19 years at ERI, he spent 5 years in aerospace defense consulting, 4 heading research at an investment management firm, and 2 in Rice's Computational & Applied Mathematics department.
Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and has chaired international Analytics conferences. John was honored to serve for 5 years on a panel appointed by President Bush to guide technology for National Security. His book with Bob Nisbet and Gary Miner, Handbook of Statistical Analysis & Data Mining Applications
, won the PROSE award for Mathematics in 2009. His book with Giovanni Seni, Ensemble Methods in Data Mining
, was published in February 2010, and his book on Practical Text Mining
, with Andrew Fast and 4 others, won the 2012 PROSE Award for top book in Computing and Information Sciences.
• Keynote Becoming an Ace with a Robot as your Wingman
• Management Panel: The War for Analytical Talent
Aleksander Fafula, Ph.D
Chief Data Scientist
MarketPsy Capital LLC
Aleksander Fafula is the Chief Data Scientist at MarketPsych Data. He holds diplomas in Informatics and Econometrics, and has a Ph.D. in Finance. For more than twelve years he has worked on distributed mission critical systems related to data security and the financial markets. He is the author of a methodology to detect human cognitive biases in stock price activity, which is the basis of an experimental stock trading system simulator. In his dissertation he developed the world's first hybrid behavioural stock market indicators. Dr. Fafula has developed applications in cloud computing, data mining (decision trees, clustering, visualisation, regression, association), time series modelling, and artificial intelligence.
Case Study: MarketPsy Long-Short Fund LP Predicting Investor Behavior: Trading the First Social Media Sentiment-Based Hedge Fund
Dr Martine George, PhD
Head of Marketing Analytics and Research
BNP Paribas Fortis
Martine George holds a PhD in Physics from Université Libre de Bruxelles, Belgium and a Master of Business Administration from Edinburgh Business School, UK.
Martine has had more than 20 years work experience in different companies and industries. Her domain of expertise has been always around marketing analytics & research, strategic data-driven business, data mining, knowledge management, business intelligence and campaign management. She has occupied different functions as analyst, data scientist, middle manager and today as director in Banking, Energy, Telco’s, Logistics, Financial Services industries. She is a practitioner, an advocate and a team maker in Business Analytics. Martine is currently Director, Head of Marketing Analytics & Research at Corporate & Public Bank at BNP Paribas Fortis, Belgium.
Martine is also an ICF Associate Certified Coach (ACC) and a dialogue facilitator. She has currently a particular interest in talent management and organizational development in Business Analytics.
Martine has kept a strong collaboration with the academics through several interventions as invited lecturer, thesis supervisor and as fellows. She is an invited speaker in Business Analytics conferences in Belgium and abroad.
• Managing Analytics: Developing and growing teams of Predictive Analysts
• Management Panel: The War for Analytical Talent
Society of Data Miners
Tom Khabaza is the Founding Chairman of the Society of Data Miners. A data mining veteran of over
20 years and many industries and applications, Tom helped create the world-leading Clementine data mining workbench and the industry standard CRISP-DM methodology, and led the first integrations of data mining and text mining. His recent thought leadership includes the 9 Laws of Data Mining and Predictive Analytics Strategy.
• Management Panel: The War for Analytical Talent
E-Commerce Project Manager
MAN Diesel & Turbo
Massih Mayeli is an analytics professional and has worked for the last 4 years as a business analyst for MAN Diesel and Turbo, one of the world's leading suppliers from gensets to two-stroke engines for giant container ships, from power units to turnkey diesel power plants.
He and his team have been responsible to make analytics happen in diffident layers of the after-sales business, a very fascinating transformation journey. He has worked for few years for the national statistical center, dealing with official statistics information management. He is now the e-business project manager, responsible to increase the share of e-business in the after-sales portfolio of MAN Diesel & Turbo. He is very interested in the maritime industry and believes there is much more potential to apply analytics to this industry to meet with the increasing global and industry challenges and for gaining competitive advantages in the markets.
• Case Study: MAN Diesel & Turbo Challenges of Industrial B2B Analytics: Case Study of a Maritime Industry Manufacturer
Customer Intelligence analyst
Deutsche Bank Europe GmbH Belgian branch
Matthias Meul currently works as a Customer Intelligence Analyst at Deutsche Bank Europe GmbH, Belgian branch. He started his professional career at Ghent University as a TA and PhD student in the Master of Marketing analysis program, but switched to the private sector in order to bring his knowledge into practice. After he built up hands-on experience in campaign optimization & analysis, he is currently working on the deployment of analytics in the client contact strategy at Deutsche Bank.
$bull; Case Study: Deutsche Bank (Belgian Branch) Conversion of savers to investors at Deutsche Bank Europe GmbH Belgian branch: Lessons learned
Director, Global Solutions
SAP Store & Commercial Infrastructure
Philip Mugglestone is Director of Global Solutions at SAP and is responsible for the go-to-market initiatives around predictive and text analytics. Philip’s career includes more than 25 years in analytics roles focusing on business intelligence, advanced analytics, data warehousing, and enterprise performance management. Philip has a degree in Computer Science from Thames Valley University.
Special Adviser and Project Leader
Danish ministry of Taxation
Mads Krogh Nielsen holds a MSc in Economics and Social Sciences from the University of Copenhagen. He has years of experience with datamining projects and is at present employed as Special Adviser and Project Leader at the Danish Ministry of Taxation where he is leading a project implementing Credit Scoring Analysis in the debt collection of the public sector. Prior to this engagement he is an experienced IT Auditor and database programmer and has filled a range of analytical and team leader roles.
• Case Study: Danish ministry of Taxation Implementing advanced analytics in Tax collection and compliance
Regional Head, UK
Mu Sigma Inc.
With over 10 years of corporate experience, Aditi Nitin is currently the Regional Head for the UK at Mu Sigma. In this role, she is responsible for growth of the existing portfolio of clients across multiple industry verticals and achieving revenue targets for Mu Sigma in the UK. She helps clients realize the benefits of using data led decisions to drive business profitability. Prior to joining Mu Sigma, she held various marketing roles in Reliance Communications. Aditi holds a degree in Economics from the University of Mumbai, and an M.B.A. from The Indian School of Business (ISB).
Analytics Practise Leader
Donal has twenty-five years of experience as a leader, practitioner, trainer and coach in process improvement, problem solving, project management and analytics - and joined Trinity Horne in 2003. Since then he has designed and delivered many successful client interventions and created Applied Analytics - a powerful methodology for the analysis of large, complex business issues - which has delivered major insights and benefits for blue chip clients. He has broad and deep knowledge and experience across multiple service and manufacturing sectors, combined with a proven ability to operate effectively at every level of large organisations.
• Case Study: Dŵr Cymru Welsh Water One in a million. Using Applied Analytics to reduce rare pollution events in Wales.
Alec is a senior statistician at Trinity Horne. He has thirteen years experience as a statistician and data analyst, with a proven background in developing and delivering analyses of performance and financial data. He has an unusual combination of skills: both technical skills and the ability to negotiate and communicate analyses with non-specialists. He put these to good use during the pollution analysis with his last client. He worked with them by using their expertise to develop the best hypotheses, sourcing undeveloped but useful data, and making sure the analysis informed real investment decisions. Before joining Trinity Horne, Alec had a varied career working on studies of the value for money of police services and schools, the impact of an ageing population on public services, migration and fertility, crime against businesses and crime by young people.
• Case Study: Dŵr Cymru Welsh Water
One in a million. Using Applied Analytics to reduce rare pollution events in Wales.
Tom leads the Data Analytics team within Deloitte’s Enterprise Risk Services Practice, specialising in information management and data technology with responsibility for a team of over 100 people. He has worked for over 14 years in the fields of analytics, data quality and information integrity, supporting clients in the delivery of business change and regulatory compliance solutions. He is also the UK firm lead for Risk Analytics, helping clients to use analytics to drive better decisions in audit, financial, operational and regulatory risk.
Head of Sports Science
Leicester Tigers Rugby team
Andy Shelton has an MSc in Sports Science from Loughborough University which focused on predictive markers of injury and performance in professional sport. He is currently The Head of Sports Science at Leicester Tigers Rugby Club, having been employed there in a variety of performance roles over the last six seasons.
• Case Study: Leicester Tigers Rugby team The Evolution of Analytics in Rugby Union
Dr. Geert Verstraeten
Predictive Analytics World London
Dr Geert Verstraeten is Programme Chair of Predictive Analytics World London 2012 and Managing Partner at Python Predictions
, a Belgian niche player with expertise in the domain of Predictive Analytics. He has 10 years of ‘hands-on experience’ in different industries such as retail, mail-order, telecom, banking, utilities, fundraising and subscription services. More specifically, his interests lie in delivering highly performing yet interpretable predictions of future events in marketing, risk and operations.
In 2005, Geert obtained a PhD in Applied Economics at Ghent University, Belgium. He has published different scientific studies in peer-reviewed journals, and has presented on a large number of business and academic conferences. Python Predictions was founded in April 2006, and currently active in retail & distribution, telecom, financial services, utilities, fundraising and postal services.
• Opening Session: Five ways to increase the impact of Predictive Analytics
• Management Panel: The War for Analytical Talent
Senior Managing Partner
Phil Winters has spent over 30 years helping organizations develop, refine and strengthen their customer experiences, emphasizing the bottom-line advantages of excellence in customer relationships. His passionate focus on the customer has earned him international recognition as The Father of Customer Intelligence. Phil draws on examples from his work with some 300 companies around the world in developing customer intelligence strategies to grow their businesses. Today, Phil is an independent management consultant and is Strategic Advisor to Peppers & Rogers Group. He advises and helps companies to realign their customer strategies from the customer’s perspective. Acknowledged as one of the pre-eminent thought leaders in the field, he is sought after as high-profile speaker at conferences and events, teaches at various institutes of higher learning, and conducts customer-focused seminars and workshops for enterprises and professional organizations alike.
• Social Media Intelligence:
Text, Network Mining and Predictive Analytics combined
Chief Executive Officer
Amjad Zaim heads Cognitro Analytics, a NY-based firm that delivers Business Analytics & Intelligence solutions and training programs to banks, Insurance, telecom and government institutions. He is an Analytics consultant with over 20 years in developing advanced Artificial Intelligence techniques to solve real-life problems in finance, security and healthcare. Prior to Cognitro Analytics, he co-founded several startups including Orion Analytics. He also established the VIB (Vision, Intelligence and Bioinformatics) research center while teaching in the Computer Science department of the University of Texas.
Amjad is the author of over 70 articles, a frequently invited guest speaker, and has served on the chairing, organizing and review committees of several international IEEE conferences. He is also a regular contributor to the Banking Executive magazine since 2009, discussing data mining applications in banking and finance. Amjad holds a PhD in Engineering from the University of Toledo, Ohio, an MBA from the University of Arlington, Texas, as well as two MSE's in both electrical and computer engineering from Wright State University in Dayton, Ohio.
• Measuring data mining myopia – the value analysts lose by relying on their favorite tools