Speakers Predictive Analytics World London 2010

Richard Boire, Partner, BoireFillerGroup

Richard BoireRichard Boire's experience in database marketing and data mining dates back to 1983 at Reader's Digest Canada where he developed segmentation and modeling routines for all direct marketing programs. Richard's progressive career path led him to American Express Canada, where he pioneered predictive modelling technology for all direct marketing programs and ultimately models to predict ROI. With this experience, Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group , a Canadian leader in offering analytical and database services to companies seeking solutions to their existing data mining or database marketing challenges.

The Diminishing Marginal Returns of Variable Creation in Predictive Analytics Solutions


Ozgur Dogan, VP, Quantitative Solutions Group, Merkle Inc.

Ozgur Dogan Ozgur has 12 years of experience in building and implementing analytics solutions for many different clients from credit card, consumer lending, insurance, media, CPG, pharma and business to business verticals.

Ozgur's Database Marketing experience stretches across many functional areas such as strategy, analytics, infrastructure and data content for many Fortune 500 clients. Ozgur is the recipient of multiple awards within Merkle, including the Exceptional Client, Operational Excellence, Database Marketing Excellence and the Chairman's Award, which is the highest recognition within Merkle. Ozgur's Team also won the NCDM Excellence Award in the Modeling and Analytics Area in 2006.

Prior to joining Merkle, he held Senior Analyst, Manager and Director Positions with leading direct marketing firms such as FedEx, NextCard and Wells Fargo Financial. Ozgur holds a BS Degree in Industrial Engineering and a technical MBA degree with focus on Marketing and Management Information Systems from The University of Georgia.

Taking CRM Global Through Predictive Analytics


John F. Elder IV, Ph.D., Chief Scientist, Elder Research, Inc.

Dr. John F. Elder Dr. John Elder heads a data mining consulting team with offices in Charlottesville Virginia, Washington DC, Mountain View California, and Manhasset New York (www.datamininglab.com). Founded in 1995, Elder Research, Inc. focuses on investment, commercial and security applications of advanced analytics, including text mining, forecasting, stock selection, image recognition, process optimization, cross-selling, biometrics, drug efficacy, credit scoring, market timing, and fraud detection.

John obtained a BS and MEE in Electrical Engineering from Rice University, and a PhD in Systems Engineering from the University of Virginia, where he's an adjunct professor teaching Optimization or Data Mining. Prior to 15 years at ERI, he spent 5 years in aerospace defense consulting, 4 heading research at an investment management firm, and 2 in Rice University's Computational & Applied Mathematics department. Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and was co-chair of the 2009 Knowledge Discovery and Data Mining conference, in Paris.

John's courses on analysis techniques -- taught at dozens of universities, companies, and government labs -- are noted for their clarity and effectiveness. Dr. Elder was honored to serve for 5 years on a panel appointed by the President 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: Improving Accuracy through Combining Predictions, was published in February 2010. John is a follower of Christ and the proud father of 5.

Keynote: The High ROI of Data Mining for Innovative Organizations

Full-day Workshop: The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes

Expert Panel: Kaboom! Predictive Analytics Hits the Mainstream


Richard Fayers, Senior Manager, Deloitte Analytical Insight

Richard Fayers

For the past 16 years Richard has worked in the field of Business Intelligence and Analytics, solving complex business issues across Retail Banks, Central Government Departments, Retailers, Pharmaceuticals, Manufacturing and Insurance. Today, Richard leads the Deloitte Analytics Insight team in the UK responsible for the Deloitte Analytics Centre of Excellence.

Deloitte's deep industry experience and advanced analytics capability maximises the value of data. We look at an organisation from the inside out - turning everyday information into useful and actionable insights that inform decision-making.

Gold Sponsor Presentation : How Predictive Analytics is Driving Business Value


Usama Fayyad, Ph.D., CEO, Open Insights

Dr. Usama Fayyad Dr. Usama Fayyad is CEO of Open Insights, a data strategy, technology and consulting firm he founded to help enterprises understand data strategy and deploy data-driven solutions that effectively and dramatically grow revenue and competitive advantages. Up until September 2008, he was Yahoo!'s chief data officer and executive vice president of Research & Strategic Data Solutions. Fayyad was the industry's first chief data officer, responsible for Yahoo!'s global data strategy, architecting Yahoo!'s data policies and systems, prioritizing data investments, and managing the Company's data analytics and data processing infrastructure which processed over 25 Terabytes of data per day. Fayyad also founded and managed the Yahoo! Research organization with offices around the world and which became the premier scientific research organization to develop the new sciences of the Internet, on-line marketing, and innovative interactive applications. Prior to joining Yahoo!, Fayyad co-founded and led the DMX Group, a data mining and data strategy consulting and technology company that was acquired by Yahoo! in 2004. In early 2000, he co-founded and served as CEO of Audience Science (originally Revenue Science/digiMine, Inc.), a data analysis and data mining company that built, operated and hosted data warehouses and web analytics for some of the world's largest enterprises in online publishing, retail, manufacturing, telecommunications and financial services. The company today specializes in Behavioral Targeting and advertising networks. Fayyad's professional experience also includes five years spent leading the data mining and exploration group at Microsoft Research and building the data mining products for Microsoft's server division. From 1989 to 1996 Fayyad held a leadership role at NASA's Jet Propulsion Laboratory (JPL), where his work in the analysis and exploration of scientific databases gathered from observatories, remote-sensing platforms and spacecraft garnered him the top research excellence award that Caltech awards to JPL scientists, as well as a U.S. Government medal from NASA.

Fayyad earned his Ph.D. in engineering from the University of Michigan, Ann Arbor (1991), and also holds BSE's in both electrical and computer engineering (1984); MSE in computer science and engineering (1986); and M.Sc. in mathematics (1989). He has published over 100 technical articles in the fields of data mining and Artificial Intelligence, holds over 30 patents, is a Fellow of the AAAI (association for Advancement of Artificial Intelligence) and a Fellow of the ACM (association of Computing Machinery), has edited two influential books on the data mining and launched and served as editor-in-chief of both the primary scientific journal in the field of data mining (Data Mining and Knowledge Discovery) and the primary newsletter in the technical community published by the ACM: SIGKDD Explorations. He is an active angel investor in the U.S. and in the Middle East. He is part of the U.S. Dept of State Delegation on Entrepreneurship in the Middle East and was recently appointed by King Abdullah II of Jordan to lead the OASIS-500, a Tech Stars model incubator, entrepreneurship training program, and angel network that aims to fund 500 Internet and Technology startups in the next 5 years.

For more details on Usama's background, see his personal web site at: http://www.fayyad.com/usama

Keynote: Search Marketing and Predictive Analytics: SEM, SEO and On-line Marketing Case Studies


Anthony Goldbloom, Chief Executive Officer, Kaggle Pty Ltd

Anthony GoldbloomAnthony is the Founder and CEO of Kaggle Pty Ltd, a global platform for data prediction competitions. In addition to founding Kaggle, Anthony continues to consult to hosts of Kaggle competitions to help them frame modeling tasks, to get the best out of the new platform and help them integrate insights into their day-to-day operations.

Before Kaggle, Anthony was a macroeconomic modeler for the Reserve Bank of Australia and before that the Australian Treasury. In these roles, Anthony built and maintained macroeconomic models of Australia's economy to improve forecasting and model the economic effect of changes in policy parameters, such as interest rates and fiscal policy.

Anthony graduated with first class honours in econometrics at the University of Melbourne and has published in The Economist magazine and the Australian Economic Review. He won a worldwide essay competition for The Economist magazine in 2007 and was awarded the Melbourne University's Kinsman scholarship in 2006.

Prediction Competitions: Far More than Just a Bit of Fun


Tom Khabaza, Predictive Analytics Consultant, khabaza.com

Vakur GirayTom Khabaza is an independent predictive analytics consultant; his mission is to help organisations to extract value from the knowledge implicit in their data. Tom has been a data mining and predictive analytics practitioner since 1992, and is one of the authors of the Clementine data mining workbench and the CRISP-DM methodology. Tom holds a degree in Psychology and a doctorate in Artificial Intelligence.

Nine Laws of Data Mining


Tamer Keshi, Ph.D., Long-term contractor, T-Mobile

Vakur GirayDr Tamer Keshi is a Deutsche Telekom long-term consultant responsible for the implementation of Fact-based Marketing and Data-driven CRM across the different T-Mobile companies in Europe. Until early 2009 Tamer was the Marketing Intelligence Manager at T-Mobile UK achieving excellent results by deploying advanced analytics into business processes. Tamer lead the implementation of Fact-based-Marketing for different world companies in different industries including e.g. four GE Capital and three Deutsche Telekom companies in central and western Europe. His main competence areas are MarketingIntelligence and CRM Strategy, Customer Insight and Analytics, and Overall Marketing and CRM Solution Design.

Predictive Analytics and Efficient Fact-based Marketing


Beata Kovacs, International Head of CRM Solutions, Deutsche Telekom

Beata Kovacs

Beata Kovacs is the Head of CRM Solution at Deutsche Telekom, responsible for modeling implementation and development in DT companies. According to her experience the implementation of advanced analytical capabilities requires changes in processes/organization/integration at a company and business support could be regarded as a "module" of predictive analytics.

Until last year she was the integrated CRM Head at Hungarian Telecom's Consumer Business Unit, and previously Deputy Marketing Director of T-Mobile Hungary. As a marketing expert she has lead a paradigm change in corporate mindset, moving towards a customer-centric and tailored offering company at all contact points. As an economist and psychologist, she has created not only a rational but also an emotional bonding approach toward customer centricity, supported with a state-of-the-art analytical chain and systems. leading the company through an evolution from mass marketing to 121 targeted marketing.

Predictive Analytics and Efficient Fact-based Marketing


Trish Mathe, Director of Database Marketing, Life Line Screening

Trish MatheTrish Mathe is a nationally recognized and award winning database marketing executive with over 10 years of database marketing experience both in financial services and healthcare services. Areas of expertise include: building and maintaining marketing infrastructure and automation, prospect and customer database management, campaign management and measurement, leverage of CRM principles in both traditional and non-traditions ways, creation of customer and prospect strategies that measurably impact the bottom line, site planning and optimization, leveraging unique data for marketing applications and statistics to improve customer retention and acquisition, contact strategies for targeted customer segments, cross-channel integration, marketing to the fifty plus crowd, healthcare professionals, and several other specialty market segments.

Taking CRM Global Through Predictive Analytics


Titir Pal, Associate Director & Head of Analytics, AbsolutData

Titir PalTitir Pal is a seasoned Marketing Sciences professional with over eight years of experience in providing marketing insights and solutions to Fortune 500 companies using market research, analytics and process consulting. He has proven expertise in leading large scale analytics & research studies across multiple industries such as Financial Services, Insurance, FMCG, Retail, Pharmaceuticals, etc.

Currently Titir is an Associate Director with AbsolutData and Heads the Analytics function in the organization. He is responsible for managing relationships with clients across Europe and US and oversee delivery of assignments. Titir started his career with GE Capital in the area of predictive Analytics and holds a Post Graduate degree in Economics from the Delhi School of Economics, India.

Titir is also actively involved with applied academic research & is currently working in the field of bio-statistics on patterns of neo-natal septicemia in India.

Predictive Analytics & Global Marketing Strategy


Nicholas Radcliffe, Founder and Director, Stochastic Solutions

Nicholas RadcliffeNicholas Radcliffe is the Founder and Director of Stochastic Solutions, a customer behaviour analytics consultancy, working primarily in media, telecoms and financial services.

Prior to founding Stochastic Solutions, Radcliffe founded and acted as Chief Technology Officer for Quadstone Limited, an Edinburgh-based software house that specialized in helping companies to improve their customer targeting. While there, he led the development of a radically new algorithmic approach to targeting direct marketing which has repeatedly proved capable of delivering dramatic improvements to the profitability of both traditional outbound and more modern inbound marketing approaches, in an approach known as uplift modelling. Quadstone was acquired by Portrait Software in late 2005, and Portrait in turn has now been acquired by Pitney Bowes.

Radcliffe is also a Visiting Professor in the Mathematics and Statistics Department at Edinburgh University and is an advisor to Fluidinfo, a company dedicated to reinventing the way we tag, query and structure shared information on the internet. His blog, The Scientific Marketer, discusses various aspects of customer modelling, with a central focus on effectiveness and uplift modelling.

Nick has a blog, The Scientific Marketer, which he contributes to regularly.

You Should Not Only Measure But Model Incremental Response


Suvomoy Sarkar, Chief Analytics Officer, HT Media & Info Edge India

Suvomoy SarkarSuvomoy, an Indian Institute of Technology trained professional, has earned a reputation for adding tremendous value to businesses through vision and problem solving. He skillfully deploys an ability to run high performance teams, an intuitive grasp of the business and a natural proficiency with analytics to drive profits for his employers and clients. During last 10 years, he has profitably transformed analytics groups at portals, financial institutions, retailers, healthcare providers and telecom companies. Currently, he is the Chief Analytics Officer of Hindustan Times, one of the largest and most respected Indian news houses and advises several online portals, management consulting firms and analytical product developers.

Increasing Marketing ROI and Efficiency of Candidate-Search with Predictive Analytics


Colin Shearer, WW Industry Solutions Leader, IBM UK Ltd

Colin Shearer Colin Shearer is Worldwide Industry Solutions Leader for the SPSS brand at IBM.

With a background in Computer Science and Artificial Intelligence at the University of Aberdeen, specialising in machine learning, he has been involved since 1984 in applying advanced software solutions to business problems.

Previously with SD-Scicon and Quintec Systems, he was one of the founders of Integral Solutions Ltd. (ISL) in 1989, and was a pioneer of data mining in the early 1990s. He was creator and architect of ISL's award-winning Clementine system (now IBM SPSS Modeler) which introduced the visual workbench approach for data mining. Shearer's team at ISL tackled numerous successful data mining applications in areas including finance, broadcasting, market research and defense, and from 1996 to 1998 he jointly let the international initiative to create and publish the CRISP-DM methodology.

In 1998 SPSS acquired ISL, and Shearer became responsible for a worldwide team of data mining consultants and for SPSS Advanced Data Mining Group. He subsequently held various positions at SPSS including global head of Product Marketing and Senior Vice President for Market Strategy. SPSS was acquired by IBM in October 2009, and Shearer moved to his current position in January 2010.

Platinum Sponsor Presentation: The Analytical Revolution

Expert Panel: Kaboom! Predictive Analytics Hits the Mainstream


Eric Siegel, Ph.D., Program Chair, Predictive Analytics World

Eric Siegel, Ph.D.The president of Prediction Impact, Inc., Eric Siegel is an expert in predictive analytics and data mining and a former computer science professor at Columbia University, where he won the engineering school's award for teaching, including graduate-level courses in machine learning and intelligent systems - the academic terms for predictive analytics. After Columbia, Dr. Siegel co-founded two software companies for customer profiling and data mining, and then started Prediction Impact in 2003, providing predictive analytics services and training to mid-tier through Fortune 100 companies.

Dr. Siegel is the instructor of the acclaimed training program, Predictive Analytics for Business, Marketing and Web, and the online version, Predictive Analytics Applied. He has published over 20 papers and articles in data mining research and computer science education, has served on 10 conference program committees, has chaired a AAAI Symposium held at MIT, and is the founding chair of Predictive Analytics World.

Keynote: Five Ways Predictive Analytics Cuts Enterprise Risk

Expert Panel: Kaboom! Predictive Analytics Hits the Mainstream

Tuesday, Nov. 16: Closing Remarks


Udo Sglavo, Global Analytic Solutions Manager, SAS

Udo Sglavo Udo Sglavo has been at SAS for more than 10 years and has made significant contributions to the analytics components of the SAS Business Analytics Framework - which include SAS Forecast Server, SAS/ETS, SAS/OR and SAS Enterprise Miner. Prior to SAS, he 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. Udo enjoys public speaking and working with customers to show how SAS can be utilized to solve their analytical challenges. He is also a member of the practitioner advisory board of Foresight magazine, published by the International Institute of Forecasters. In 2010 Udo received the SAS CEO Award of Excellence.

Expert Panel: Kaboom! Predictive Analytics Hits the Mainstream


John Spooner, Analytics Specialist, SAS (UK)

John Spooner John Spooner has over a decade of experience with regard to applying analytical techniques across a number of different industry areas. He now works as an analytical specialist at SAS UK, enabling organisations to apply data and text mining techniques, as well as forecasting and optimisation routines, to increase profits and reduce costs through fact-based decision making.

Platinum Sponsor Presentation: Creating a Model Factory Using in-Database Analytics


Anne Stephens, SABMiller plc

Anne StephensAnne Stephens was born in South Africa and completed both her schooling and university studies in Economics and Business Economics in this country. She began her career in consumer research with TNS in South Africa and joined South African Breweries (SAB) limited in 1989. During the first stages of her career there, she was heading consumer research, media management and eventually was promoted to Marketing Services Manager. In 1997, Anne left SAB to start a marketing consultancy, Yellowwood Brand Architects as a founding partner. Yellowwood was later sold to TBWA. Anne left Yellowwood in 2005 to rejoin SAB limited as Portfolio Development Manager, responsible for market research, portfolio strategy, capability development and innovation. In 2009, she was promoted to Group Marketing at SABMiller plc to head up the Group Segmentation function.

Predictive Analytics & Global Marketing Strategy


Jos van Dongen, Associate & Principal, DeltIQ Group

Jos van DongenJos van Dongen is associate and principal of DeltIQ Group. Jos has been involved in software development, business intelligence (BI) and data warehousing since 1991. Over the past years he has successfully implemented analytical solutions for a variety of organisations, both profit and non-profit. Jos covers new BI developments for the Dutch Database Magazine and speaks regularly at national and international conferences. He authored a (Dutch) book on Open Source BI called 'Low cost, high value?' and is co-author of the books 'Pentaho Solutions' and 'Pentaho Kettle Solutions'. The former two books contain data mining chapters written by Jos.

The Rise Of Open Source Analytics: Lowering Costs While Improving Patient Care


Dr. Geert Verstraeten, Partner, Python Predictions

Dr. Geert VerstraetenDr. Geert Verstraeten is Partner at Python Predictions, a Belgian niche player with expertise in the domain of customer intelligence. He currently has 8 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 highly performing yet interpretable predictions of future individual customer behavior.

In 2005, Geert 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 journal, and has presented on a number of business and academic conferences.

Python Predictions was founded in April 2006, and currently active in Retail & Distribution, Telco, Financial Services and Postal Services in the Belgian market.

Increasing Marketing Relevance Through Personalized Targeting


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