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Speakers Predictive Analytics World Washington, DC 2010

Dean Abbott, President, Abbott Analytics

Dean AbbottDean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, risk modeling, text mining, response modeling, survey analysis, planned giving, and predictive toxicology. In addition, Mr. Abbott serves as chief technology officer and mentor for start-up companies focused on applying advanced analytics in their consulting practices.

Mr. Abbott is a seasoned instructor, having taught a wide range of data mining tutorials and seminars for a decade to audiences of up to 400, including PAW, KDD, AAAI, IEEE and several data mining software users conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. Mr. Abbott also has taught applied data mining courses for major software vendors, including SPSS-IBM Modeler (formerly Clementine), Unica PredictiveInsight (formerly Affinium Model), Enterprise Miner (SAS), Model 1 (Group1 Software), and hands-on courses using Statistica (Statsoft), Tibco Spotfire Miner (formerly Insightful Miner), and CART (Salford Systems).

Full-day Workshop: Hands-On Predictive Analytics

Turning Member Satisfaction Surveys into an Actionable Narrative

Bruno Aziza, Director, Worldwide Strategy Lead, Business Intelligence, Microsoft

Bruno AzizaBruno Aziza is a recognized authority on Strategy Execution, Business Intelligence and Information Management. He is the co-author of best-selling book, "Drive Business Performance: Enabling a Culture of Intelligent Execution" and a Fellow at the Advanced Performance Institute, a world-leading and independent advisory group specialized in organizational performance. Drs. Kaplan & Norton, of Balanced Scorecard fame, praise Aziza for moving "the field of performance management forward in important new directions."

Aziza's work has been featured in publications across North America, Europe and Asia such as Business Finance magazine, Intelligent Enterprise, CRM magazine and others.

Aziza has held management positions at Apple Inc., Business Objects (SAP), AppStream (Symantec) and Decathlon SA. He currently works on Microsoft Business Intelligence go-to-market strategy and execution for partners, services, sales and marketing. Aziza lives in Seattle with his family and enjoys sports and travelling.

He regularly provides views on leadership and performance on the SuccessFactors thought leader Network , the CIO Network and Forbes Magazine. Aziza is the host of BizIntelligence.TV - a leading weekly show on Business Intelligence and Analytics. An award-winning speaker, Aziza frequently keynotes international events and has shared the stage with executives and thought leaders such as Dr. Kaplan. Aziza's biggest crowd to date is 5,000 people.

Follow or contact Bruno via:
•Twitter @
•Facebook @
•Linkedin @
•YouTube @
•Kindle blog @
•Forbes blog @

Keynote:Predictive Analytics and Business Performance

Dave Becher, Director of Academic Information, Office of the Provost, American Public University System (APUS)

Dave BecherPrior to moving to this office he served as the Team Lead of Decision Support Systems within the Information Technology department at APUS.

He is currently the Data Team Lead for the Self-Study Steering Committee and serves on several data committees within the Transparency by Design initiative. He is currently serving on the Tableau Customer Advocacy Board for 2010. He was also part of the team that won the Sloan-C Gomory Award for Data Driven Quality Improvement in 2009.

He has presented at numerous higher education conferences over the past two years on such topics as data driven decision making, data warehousing, program review processes, and student assessment.

After graduating from Lycoming College with a B.A. in Business Administration, Mr. Becher was employed by Westat, a Social Science Research company in Rockville, Maryland. He began as a Research Analyst and progressed up to Sr. Systems Analyst before leaving to work for APUS in 2006.

Mr. Becher is currently working on his Masters in Business Intelligence at Saint Josephs University.

Taking the "risk" out of "at-risk" - identifying students before they drop out

Bo Begole, Principal Scientist, Xerox PARC

Bo BegoleBo Begole is a Principal Scientist and manages Xerox PARC's Ubiquitous Computing research area. He is an applied computer scientist with broad interests working to create novel interactive systems to eliminate technology barriers between information and people. His prior research includes systems that predict the future presence and availability of people for incoming phone calls and messaging at Sun Microsystems. He is a co-inventor of seven issued patents and dozens pending. Bo holds a Ph.D. in Computer Science from Virginia Tech. Prior to his studies, Bo served in the US Army as an Arabic language translator specializing in Egyptian, Libyan and Iraqi dialects.

Exploiting Unstructured Data Sources for Predictive Applications

Nick Besbeas, SVP of Marketing, Yahoo!

Dr. Nick Besbeas Nick Besbeas was most recently the Senior Vice President of Global Consumer Marketing and Insights at Yahoo! Inc. at Yahoo!. The teams were responsible for identifying, attracting and engaging the largest and most valuable audiences to Yahoo! globally and for discovering and communicating insights that enabled Yahoo! to take continuous action to improve user experiences and grow our business. Mr. Besbeas had been with Yahoo! for four years and during that time led various groups including Direct Marketing, B2B Marketing and Customer Support.

Prior to joining Yahoo! in 2005, Mr. Besbeas co-founded digiMine Inc. (now Audience Science, Inc.). The Seattle based company was established in early 2000 and provided large scale hosted solutions for marketing and business analytics. The company now specializes in behavioral targeting and advertising networks and is recognized as a leader in the industry. As the company's Chief Strategy Officer, he ran Sales, Marketing and Account Management.

From 1993 to 1999, Mr. Besbeas established and led the Direct Marketing and Business Intelligence group at Microsoft, MSN. His pioneering work in MSN defined standards for capturing, tracking and applying information about customer's behavior online. From 1999 to 2000 Mr. Besbeas was Group Product Manager in the Business Applications Division at Microsoft where he played a key role in the launch of SQL 6.0, Office 2000 and several other Microsoft's business applications.

Prior to Microsoft, Mr. Besbeas held leadership roles in several direct marketing firms including Quill Corporation (a subsidiary of Staples) and The Signature Group.

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

Paul Coleman, Director of Marketing Statistics, Macy's Inc.

Paul ColemanPaul Coleman, Ph.D. leads the construction of customer behavior models supporting retail marketing. Reporting and analysis from the Macy's customer database is also an essential compliment to the statistical operations done by his team. Transferred from Fingerhut to Macy's in 2002, Dr. Coleman was previously on the research and teaching staff at the medical schools of Washington University and University of Minnesota.

Macy's, Inc., with corporate offices in Cincinnati and New York, is one of the nation's premier retailers, with fiscal 2009 sales of $23.5 billion.

The company operates more than 850 department stores in 45 states, the District of Columbia, Guam and Puerto Rico under the names of Macy's and Bloomingdale's. The company also operates, online sites.

The world is not flat (even though modeling software has to think it is).

Randy Collica, Solutions Architect, SAS

Randy CollicaMr. Collica received a B.S. degree in electronic engineering from Northern Arizona University in 1982. He has 16 years of experience in the semiconductor manufacturing industry working on yield and product and quality engineering. Since 1998 he has been with Compaq and Hewlett-Packard as a Sr. Business Analyst using Data Mining techniques for customer analytics in the Corp Customer Intelligence department. He is currently a Solutions Architect for SAS Institute supporting the High-tech Manufacturing and Communications industries. His current interests are in Clustering and Ensemble models, knowledge and data engineering, missing data and imputation, and text mining techniques for use in business intelligence. He has authored and co-authored 11 articles and has written a book on CRM Segmentation and Clustering using SAS Enterprise Miner. Mr. Collica has been a member of the IEEE since 1979.

Applied Customer Segmentation - Knowing Your Customers

Tim Daciuk, Predictive Analytics Solutions Architect, IBM

Tim DaciukTim works with the sales group to help customers, and potential customers, better understand the value of predictive analytics; how it aligns with the IBM software family, and how it aligns with customer business strategies. Tim provides customers with everything from a business understanding to in-depth technical demonstrations of the IBM SPSS Predictive Analytics product suite. Additionally, Tim is an accomplished speaker and has spoken at conferences, meetings and professional seminars throughout North America, Europe and Asia. Tim also leads several seminars in predictive analytics across North America for audiences from technical specialists to business decision makers.

Tim Daciuk has over thirty years of experience in statistics, data mining and predictive analytics. He has worked in roles as a consultant, trainer, pre-sales and marketing. Tim has supported both public sector and commercial endeavors, as well as served as an advisor to many academic research projects. Of late, Tim has specialized in the use of data and text mining and how these technologies can be applied in a business context, across industries. Tim works closely with industry and software leaders to help businesses, governments and institutions understand and unlock the power of predictive analytics.

Taking the "risk" out of "at-risk" - identifying students before they drop out

Finbarr Deely, Director of Business Development, ParAccel

Finbarr DeelyFinbarr works with ParAccel's partners to develop the strategy and ecosystem that will allow them to be successful in driving competitive value from their data.

He has spent the last 15 years building global alliances for enterprise software companies. Prior to joining ParAccel, Finbarr built and managed Global Alliances for MicroStrategy and Mercury Interactive.

Predictive Analytics Accelerate Insight for Financial Services

Ozgur Dogan, VP, Quantitative Solutions Group, Merkle Inc

Ozgur DoganOzgur has 12+ years of experience in building and implementing advanced analytics and database marketing solutions for many different clients across financial services, media, pharmaceutical, CPG 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

David Duling, Research and Development Director, SAS

David DulingDavid Duling is the Research and Development Director for SAS data mining products including SAS Enterprise Miner, Credit Scoring for Enterprise Miner, SAS Text Miner, and SAS In-database Analytics. David has worked at SAS since 1996 developing various components for Enterprise Miner including the process flow diagram, scoring functions, neural network, ensemble models, and link analysis modules. He has managed Enterprise Miner development since 2003. David has degrees in Physics and Statistics and worked from 1986 to 1996 for the National Institutes of Health in molecular biophysics.

Kaboom! Predictive Analytics Hits the Mainstream

John F. Elder IV, 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 ( 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.

Text Mining: Lessons Learned

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

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:

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

Kaboom! Predictive Analytics Hits the Mainstream

Frank Fiorille, Director of Enterprise Risk Management, Paychex

Frank FiorilleFrank is the Director of Enterprise Risk Management at Paychex, a leading provider of payroll, human resource, and benefits outsourcing solutions for small- to medium-sized businesses. The company has more than 100 offices and serves approximately 500,000 payroll clients and 12 million employees nationwide. Fiorille has over 20 years experience in risk management and credit and joined Paychex in 2002 to lead the company's initiative to build an enterprise wide risk apparatus.

He was named as one of the 100 Most Influential People in Finance-Treasury & Risk Magazine in 2008 and 2009. Frank's team received 7 individual Alexander Hamilton Awards over the past 4 years in excellence in Risk Management, more than any other company over that time frame.

Before joining Paychex he spent four years with PNC Financial in Pittsburgh, Pennsylvania working in their Corporate Credit Policy area overseeing various commercial and consumer risk units and reporting directly to the Chief Credit Officer of the company. Prior to his work with PNC, he spent twelve years with Citigroup in New York holding various risk management and credit roles within their U.S consumer bank. He is an also graduate of the inaugural 2007 class at the Wharton Business School at the University of Pennsylvania advanced risk management program.

He is also credited for leading very successful projects to build the first risk and retention models in both the educational lending and payroll outsourcing industries. He has also spent time working internationally by teaching and facilitating strategic risk management courses for senior level executives.

Staying One Step Ahead of the Competition - Development of a Predictive 401(k) Marketing and Sales Campaign

Jason Fox, Information Systems & Portfolio Manager, Paychex

Jason FoxJason Fox is an Information System & Portfolio Manager within Paychex Enterprise Risk Management (ERM). For the last seven years he's developed and integrated predictive models into Paychex operations. He also leads a team responsible for key risk reporting, designing schemes to store critical data and IT system automation. Jason's projects have been nationally recognized by Alexander Hamilton and RIMS, winning four quality and technical solution awards in the past several years. He began his career with Adecco Employment Services as a Senior Client Representative, quickly moving into various analytic and IT roles to support major accounts. Prior to this Jason received his bachelor's degree from SUNY Brockport and has continued his education in Mathematics, Computer Science and Business at UNC Charlotte and SUNY Brockport.

Staying One Step Ahead of the Competition - Development of a Predictive 401(k) Marketing and Sales Campaign

Bill Franks, Chief Analytics Officer, Global SAS Program Teradata Corporation

Jason FoxBill is Chief Analytics Officer for Teradata's global SAS program. In this role, he provides thought leadership to clients on trends in the Advanced Analytics space, how clients can leverage those trends, and how Teradata and SAS can support those efforts. Bill also oversees the Business Analytic Innovation Center, which is an analytics think tank jointly sponsored by Teradata and SAS. Bill has extensive background helping clients derive value through the use of data analysis and modeling, with a focus on making results accessible to the business community. His work has spanned clients in a variety of industries ranging in size from Fortune 100 companies to small non-profit organizations. Bill is also a faculty member of the International Institute For Analytics.

Gold Sponsor Presentation: Let's Talk About Fleas!

Dudley Gwaltney, Group Vice President, Analytical Modeling, SunTrust Bank

Dudley GwaltneyInvolved in data mining since 1995, Dudley Gwaltney is currently the manager of SunTrust Bank's Analytical Modeling group within the Client Information Group. Dudley has been with SunTrust since 2001.

With a background on both the consulting and client side, Dudley has extensive experience in a wide array of data mining areas, including predictive modeling, segmentation, program analysis, design, implementation and maintenance of data marts, and software development. The majority of his career has been focused on the financial services industry.

Using data mining and statistical analysis, Dudley works with SunTrust's Marketing and Product Management departments to improve overall performance by enhancing existing programs and creating new ones.

Dudley currently serves on the Industry Advisory Board for the Institute for Advanced Analytics at North Carolina State University. He received degrees from North Carolina State in Business Management, Economics, and Computer Science.

When One Model Will Not Solve the Problem "Using Multiple Models to Create One Solution"

Ryan Hennig, Vice President of Catalog Marketing, Miles Kimball

Ryan HennigRyan Hennig is Vice President of Catalog Marketing at Miles Kimball Company. In this role he directs the database and analytics team, catalog production and circulation, forecasting, and creative services for their six brands. He provides strategic direction through analysis and modeling of their 20 million name customer file and mails over 120 million catalogs a year. Prior to Miles Kimball Ryan worked as the VP of Marketing at Elite Toys, a recreational equipment company, and Marketing Director at McKinley Companies, an educational direct marketing company.

Miles Kimball Optimizes Marketing Decisions

Nancy Hersh, Managing Director of Business Intelligence, Corporate Executive Board

Nancy HershNancy Hersh is a Managing Director of Business Intelligence at the Corporate Executive Board (CEB). Nancy has spent over 10 years applying analytic solutions to a wide array of business challenges. Her work has included lead scoring, customer segmentation, customer retention and data mining models. Applications of these analytics include Sales Force Effectiveness, Marketing Optimization, Financial Performance Evaluation and Product Development. Additionally, she is deeply involved in strategic projects where analytics inform decision-making. Prior to CEB, Nancy led the Customer Analytics group at Digital Impact, an online direct marketing company where she applied data mining algorithms to create true one-to-one email campaigns as early as 1998. Nancy spent the beginning of her career in management consulting at the Boston Consulting Group, and also worked in Private Equity investing. Nancy has a Masters Degree in Engineering Economic Systems and a Bachelors Degree in Industrial Engineering, both from Stanford University.

Enhancing Sales Force Effectiveness with Predictive Analytics

Mark Hornick, Senior Manager, Oracle

Mark Hornick Mark Hornick is a senior manager in Oracle's Data Mining Technologies group where he works with applications groups on predictive analytics solutions, explores uses of Oracle Data Mining on the Amazon Cloud, and contributes to the next generation Oracle Data Miner GUI. Since Oracle OpenWorld 2008, he has worked with Oracle Event Marketing and George P Johnson Experience Marketing to provide session recommendations to Oracle OpenWorld attendees.

Mark is co-author of "Java Data Mining: Strategy, Standard, and Practice" part of the Morgan-Kaufman series on data management systems. He joined Oracle in 1999 through the acquisition of Thinking Machines Corp. He was a founding member of and currently serves as an Oracle Advisor to the IOUG Business Intelligence Warehousing and Analytics (BIWA) SIG. Mark holds a Bachelor degree from Rutgers University and a Masters degree from Brown University, both in Computer Science.

Conference Session Recommendation Engine for Oracle OpenWorld

Jean-Paul Isson, Vice President, Global BI & Predictive Analytics, Monster Worldwide

Jean Paul IssonJean-Paul Isson is Vice President of Global BI & Predictive Analytics at Monster Worldwide. He built the Global Business Intelligence team from ground up .His team is responsible for Global Customer Scoring/Segmentation, Predictive Modeling and Web mining Applications building for Monster across North America Europe and Asia PAC.

Prior to joining Monster more than 5 years ago, Mr. Isson was Leading the Global Customer Behavior Modeling team at Rogers Wireless. Mr. Isson has a Master Degree in Mathematics and Applied statistics from Universite Pierre & Marie Curie Paris 6 France and more than 16 years in data mining focusing on customer behavior modeling and segmentation;

He has been speaker for ItworldCanada ItBusiness 1 to1 Media IQCP TDWI eMetrics Marketing Optimization Summit / SMX and at SAS and IDC events like the most recent 2009 CIO of the year event in Denmark . He has several articles related to his successful implementation of BI solutions and he gave interviews on Canadian local business news magazines and TV to cover Business Intelligence and Monster Employment Index.

Creating Global Competitive Power with Predictive Analytics

James Kobielus, Senior Analyst, Forrester Research

James KobielusJames serves Business Process & Applications professionals. He is a leading expert on data warehousing, predictive analytics, data mining, and complex event processing. In addition to his core coverage areas, James contributes to Forrester's research in business intelligence, data integration, data quality, and master data management.

James has a long history in IT research and consulting and has worked for both vendors and research firms. Most recently, he was at Current Analysis where he was a principal analyst covering topics ranging from data warehousing to data integration and the Semantic Web. Prior to that, James was a senior technical systems analyst at Exostar. James was responsible for identifying and specifying product/service requirements for federated identity, PKI, and other products. He also worked as an analyst for the Burton Group. James is a widely published business/technology author and has spoken at many industry events.

Social Network Analysis: Killer Application for Cloud Analytics

Bill Lazarus, President and CEO, Seer Analytics, LLC

James KobielusBill Lazarus is President and CEO of Seer Analytics, LLC, a technology-based research and analytics company in Tampa Florida. Seer produces actionable intelligence to help clients make smarter decision and drive business performance.

Bill has worked in the non-profit and corporate sectors. He joined the Dun & Bradstreet Corporation in 1984 where he held positions of increasing responsibility at three divisions and the corporate office.

In 1994, Bill founded Lazarus Associates, a consulting firm specializing in the use of data and analytical tools to support strategy development. In January 2001 Bill and his partners formed Seer Analytics to provide consumer research products and services requiring a substantial technological infrastructure. Since its formation Seer has developed proprietary software and processes to automate complex data collection, analysis and reporting. Seer reports embed sophisticated analytics yet are designed to be accessible and meaningful to a non-technical audience. They have been used at every level of the organization, from frontline operations to boardroom planning.

Bill received his BA from the University of Wisconsin, his MA from the University of Toronto, and his SM and PhD from the Massachusetts Institute of Technology.

Turning Member Satisfaction Surveys into an Actionable Narrative

Lawrence C. Lee, Director of Business Development, Xerox PARC

Lawrence LeeLawrence Lee is Director of Business Development for Xerox PARC's Intelligent Systems research organization, where he leads technology commercialization and business analysis. Prior to joining Xerox PARC, Lee co-founded Zoundry LLC, an early social commerce startup connecting bloggers with online retailers. Previously, he served as Vice President of Business Development at Mirror Worlds Technologies, Inc., an enterprise and desktop search company that spun off from Yale University. Lawrence holds an MBA from the Yale School of Management and joint bachelor degrees from Wharton and the School of Engineering and Applied Science at the University of Pennsylvania.

Exploiting Unstructured Data Sources for Predictive Applications

Daymond Ling, Senior Director, Modelling & Analytics, Canadian Imperial Bank of Commerce

Lawrence LeeDaymond is a veteran of Data Mining and Business Analytics, and has extensive experience in driving fact based decision making to create value.

Currently, he is Senior Director, Modelling & Analytics at Canadian Imperial Bank of Commerce (CIBC) where he is responsible for customer-centric Data Mining and Customer Insight for the Retail Bank, covering areas such as:

  • Marketing Propensity Models to drive sales revenue;
  • Insight of acquisition/retention, lifecycle, and lifestyle;
  • Customer Segmentation to drive customer management strategy;
  • Optimization to maximize Revenue and ROI across business processes.

Before CIBC, Daymond worked for American Express Canada in Risk Management. He conducted extensive analytics for Credit Cards in New Accounts, Authorizations, Credit, Collection, Fraud; and is the recipient of the prestigious Chairman's Award of Quality for his significant contributions.

Daymond is also a frequent speaker, invited to speak at Canadian Marketing Association, CATSE, MITACS, and SAS on a regular basis. He holds a Bachelor of Science degree in Honours Physics, and a Master of Science degree in Operations Research, both from University of British Columbia in Canada.

Segmentation Do's and Don'ts

Tarun Loomba, Chief Marketing Officer, ParAccel

As ParAccel's Chief Marketing Officer, Mr. Loomba is responsible for Product Management, Marketing and Business Development. Mr. Loomba is a technology industry executive with over 17 years of experience across Engineering, Product Management, Marketing, and Business Development with technical and industry expertise in consumer electronics, broadband, internet and data center infrastructure. Prior to ParAccel, Tarun was VP, Marketing and Business Development for storage solutions at Seagate Technology where he was responsible for the global product management, marketing and business development teams managing Seagate's $1B consumer and small-medium enterprise storage solutions business. There he re-launched the full product line within his initial year which resulted in the quintupling of Seagate market share for it's flagship product.

Before Seagate, Tarun worked at Cisco Systems for a decade starting in Internet technologies, moving to cable, and data center networking before finishing as the Senior Director, Product Management and Marketing at Linksys - A Division of Cisco Systems, where he led the global product management and marketing team responsible for Linksys' $1B+ consumer business including the home networking portfolio, voice over IP product line and broadband products.

Prior to Cisco, Tarun worked as a management consultant for Booz, Allen & Hamilton in the areas of communications, media and technology and at Westinghouse Electric in the Electronic Systems Group, Space Division. Tarun has a BSEE from the University of Michigan, College of Engineering and an MBA from the Wharton School of the university of Pennsylvania.

Workshop:Predictive Analytics: The Next Step to Financial Business Insight

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

Anne H. Milley, Senior Director of Analytic Strategy, Worldwide Product Marketing, SAS

Anne H. MilleyAnne Milley works closely with Product Marketing, Product Management and R&D to drive SAS' analytic marketing strategy and direction. She began working with SAS® while finishing her thesis on bank failure prediction at the Federal Home Loan Bank of Dallas. She continued her use of SAS at 7-Eleven Inc. as a senior business consultant.

Milley writes and speaks on analytics. She has co-chaired and served on committees for analytical conferences. In 2008, she completed a five-month assignment at a major bank in the UK.

She has a Master of Arts in economics from Florida Atlantic University, did post-graduate work at Rheinisch-Westfälische Technische Hochschule Aachen and is proficient in German.

Platinum Sponsor Presentation Analytics: The Beauty of Diversity

David McMichael, Assistant Vice President, MetLife Auto & Home

David McMichaelDavid McMichael is responsible for the Quantitative Research & Modeling team, a unit of the Actuarial Department at MetLife Auto & Home. The QRM team searches for opportunities where advanced analytics can be combined with business knowledge to help drive better decision making. The QRM team has worked on projects for Pricing, Underwriting, Claims, and Marketing.

Prior to joining MetLife, David worked for Allstate Insurance Company and the Mathematics Department at Florida State University. David holds a B.S. degree in Mathematics from the University of Kentucky, and M.S. and Ph.D. degrees in Mathematics from the University of Wisconsin. David is a Fellow of the Casualty Actuarial Society.

Fighting Fraud with Text Mining at MetLife Auto & Home

Andrew Pole, Senior Manager, Media and Database Marketing, Target

Andrew Pole Andrew Pole's work experience includes Marketing research and CRM analytics as a Lead Consumer Analyst at Hallmark Cards, Analytics manager at Hallmark Loyalty Marketing Group consulting on CRM activities for clients ranging from Nestle-Purina, Cendant Mortgage, and Schwans Foods, and, currently, Sr. Manager at Target, managing a team of 40 people in the US and India supporting the analytics, campaign design/execution, and operational/performance reporting for Target stores and marketing campaigns. Mr. Pole's degrees include BA Math and Music (Augustana College), MS Statistics (Kansas State University), MA Economics (University of Missouri-Kansas City).

Keynote: How Target Gets the Most out of Its Guest Data to Improve Marketing ROI

Karl Rexer, Ph.D., Rexer Analytics

Karl RexerKarl founded Rexer Analytics, a Boston-based analytic consulting firm, in 2002. He and his teams have delivered analytic solutions to dozens of companies. Solutions include fraud detection, customer attrition analysis and prediction, customer segmentation, sales forecasting, direct mail targeting, market basket analysis and survey research. Karl is a leader in the field of applied data mining. He has served on the organizing committees of several international conferences, and is on the Board of Directors of Oracle's Business Intelligence, Warehousing, and Analytics (BIWA) Special Interest Group. Karl is frequently invited to speak at MBA programs, conferences, and user groups.

Each year Rexer Analytics conducts and publishes the widely read Annual Data Miner Survey. In 2009 over 700 data miners from around the globe participated in the third annual survey. Karl holds a PhD from the University of Connecticut.

2010 Data Miner Survey Results: Highlights

Nethra Sambamoorthi, Ph.D | Team Leader, Consumer Dynamics & Analytics, Global Consulting, Acxiom Corporation

Nethra SambamoorthiMaster architect, solution developer, and a guru in Consumer Dynamics and Analytics, working with 130MM HHs/200MM consumers in US on multiple verticals (financial services, Pharmaceuticals, Retail Banking, Telecom, Auto) for one to one CRM solutions. Routinely work on diverse application platforms such as acquisition, customer intelligence, loyalty platforms using heterogeneous and multiple interactive channels such as mail, web, phone, and more than other 20 other media channels which consumers use for research, contact, and buying activities. Create innovative solutions in analytics for better prediction and data mining methods. Develop and train teams and build intellectual property in analytics.

Making Survey Insights Addressable and Scalable - The Case Study of Forrester's Technographics® Benchmark Survey

Ari Schwartz, Senior Internet Policy Advisor, National Institute of Standards and Technology

Ari SchwartzAri Schwartz's work focuses on increasing individual control over personal and public information. He promotes privacy protections in the digital age and expanding access to government information via the Internet. He regularly testifies before Congress and Executive Branch Agencies on these issues.

Schwartz also leads the Anti-Spyware Coalition (ASC) , anti-spyware software companies, academics, and public interest groups dedicated to defeating spyware. In 2006, Schwartz won the RSA award for Excellence in Public Policy for his work building the ASC and other efforts against spyware. He was also named one of the Top 5 influential IT security thinkers of 2007 by Secure Computing Magazine.

Schwartz currently serves as a member of the U.S. Information Security and Privacy Advisory Board.

Privacy by Design: The Future of Privacy, Standards and Tech Policy

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: Persuasion by the Numbers: Optimize Marketing Influence by Predicting It

David Stewart, Partner, Deloitte

David StewardDavid Stewart believes it takes common sense to craft practical solutions to complex problems—and that's precisely what he delivers. As the National Leader of Deloitte Canada's Analytic and Forensic Technology practice, David, and his data analytic and litigation support teams specialize in computer forensic investigations, economic crime management, and enterprise value generation. The team leverages the latest in infrastructure and software housed in Deloitte's National Analytic & Discovery Centre (the largest commercial lab of its kind in Canada), located in the heart of Toronto's financial district. David's commitment to helping clients resolve their challenges makes him a trusted advisor to organizations in all sectors. He is also a qualified expert witness in forensic accounting and acts as an independent court-appointed inspector in relation to investigating allegations of financial crimes.

Gold Sponsor Presentation Going beyond the numbers. Turning data into insights.

Roxana Strohmenger, Senior Survey Manager, Operations and Analytics, Forrester Research

Roxana StrohmengerRoxana Strohmenger serves Market Research professionals and is responsible for the collection and insight gathering of Forrester's Consumer Technographics® product, for North America, Europe, Asia Pacific, and Latin America. She is an expert on market segmentation, quantitative research methodologies, survey design, and data analysis. Roxana recently helped launch Forrester's Latin American Technographics® and is responsible for writing, fielding, analyzing and providing deep, comprehensive data and insights in this fast changing region.

Making Survey Insights Addressable and Scalable - The Case Study of Forrester's Technographics® Benchmark Survey

James Taylor, CEO, Decision Management Solutions

James TaylorAs CEO and Principal Consultant at Decision Management Solutions, James works with clients to develop action-oriented, flexible, forward-looking systems that learn and adapt. With over 20 years experience developing software, James is one of the leading experts in Decision Management and in the effective use of business rules and analytic technology. James founded Decision Management Solutions in 2008 and is an active consultant, trainer, keynote speaker and blogger. The best known proponent of the Decision Management approach, James has been helping create the emerging Decision Management market for the last eight years. James has experience at FICO, PeopleSoft R&D and as a strategic business consultant with Ernst and Young.

James is the lead author of "Smart (Enough) Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions " (Prentice Hall, 2007) with Neil Raden and has contributed chapters to "Applying Real-World BPM in an SAP Environment" (forthcoming), "The Decision Model", "The Business Rules Revolution: Doing Business The Right Way" and "Business Intelligence Implementation: Issues and Perspectives".

Full-day Workshop: Driving Enterprise Decisions with Business Analytics and Business Rules

Jason Verlen, Director, SPSS Product Strategy & Management, IBM Software Group

Jason VerlenJason Verlen is responsible for IBM SPSS' overall product strategy. This involves determining what products and capabilities should be built so that customers can achieve greater success on their journey to becoming Predictive Enterprises. He is a member of the senior management team of the R&D group within SPSS Inc., and as such plays a major role in market assessment, product roadmaps, and overall interactions with customers to ensure that the company's product strategy matches their emerging needs. Jason has been instrumental in driving the organization to both deepen its penetration in its traditional core markets and to integrate products to drive SPSS technology into new markets and new users. His contributions stem from extensive personal experience in both the business and technical sides of the software industry.

Jason joined SPSS in 1995, and prior to his current role has held a variety of senior positions within SPSS including VP of Survey Applications, VP Professional Services, Sr. Director Corporate Sales, Sr. Director Sales Engineers, Sr. Director Information Technology, and Director Quality Assurance. Before his tenure at SPSS Jason was an Executive at SDC, a firm that produced a risk management software suite for the financial markets. He holds a Bachelor of Science Degree in Computer Science from Northwestern University and a Masters Degree in Business Administration from the University of Chicago.

Platinum Sponsor Presentation: Driving Analytics Into Decision Making

Kaboom! Predictive Analytics Hits the Mainstream

Scott Zasadil, Senior Scientist, UPMC Health Plan

Scott ZasadilDr. Zasadil holds a Ph.D. in Mathematical Physics from Indiana University with a specialization in Partial Differential Equations, Numerical Analysis, and Statistical Mechanics. His job titles have included positions as: mathematician, physicist, software engineer and scientist. He has been involved in the programming, modeling, simulation and data analysis of projects in the fields of atmospheric physics, radiation oncology, supply chain logistics, digital signal processing, and medical informatics. Scott joined UPMC Health Plan in 2008 where he develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for health care programs.

A Predictive Model for Hospital Readmissions

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