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Speakers Predictive Analytics World Toronto 2013
 Dean Abbott

Dean Abbott

Chief Data Scientist

Abbott Analytics

@deanabb

Dean Abbott is President of Abbott Analytics and currently is the Bodily Bicentennial Professor in Analytics at UVA Darden School of Business. He is an internationally recognized thought leader and innovator in data science and predictive analytics with more than three decades of experience solving a wide range of private and public sector problems. Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013).

Case Study: My Five Predictive Analytics Pet Peeves
Panel Discussion: What is Big Data Analytics: A Canadian Perspective

Dr. Gary Anderberg

Dr. Gary Anderberg

SVP of Claim Analytics Product Management

Gallagher Bassett

Gary Anderberg has worked in developing predictive analytic applications for workers' compensation insurance since 2007. He is a recognized expert in the use of PA outputs for guiding the handling of complex claims to drive improved claim outcomes. He is the "godfather" of the Waypoint system and its key role in improving overall decision making and the more effective use of claim resources at Gallagher-Bassett. He will speak to the business case for a system like Waypoint and the corporate cultural and practice issues involved in socializing potentially complex PA system outputs with deeply entrenched work patterns at the end user level. He knows first-hand how the most brilliant PA applications can founder when output and practice cultures clash.

Case Study: To Sue or Not to Sue: Predicting Litigation Risk

 Richard Boire

Richard Boire

President

Boire Analytics

Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics. 


His initial experience at organizations such as Reader’s Digest and American Express allowed  him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models which targeted the acquisition of new customers based on return on investment.


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 predictive analytics or database marketing challenges.


Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia. 


Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM) and Predictive Analytics World (PAW).  His written articles have appeared in numerous Canadian  publications such as  Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was  Chair at the CMA's Customer Insight and Analytics Committee and  sat on the CMA's Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the  2002 Database and Technology Seminar and the first-ever Customer Profitability Conference  in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 which were held in Toronto.


He has co-authored white papers on the following topics: "Best Practices in Data Mining" as well as "Customer Profitability:  The State of Evolution among Canadian Companies."  In Oct. of 2014, his new book on "Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems" was published by Palgrave Macmillian.  In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president of innovation.

Keynote: The Challenge of Data (Big or Small) in Predictive Analytics

 J. Michael Boyle

J. Michael Boyle

Co-Founder

The Sports Analytics Institute

Mike has more than 13 years of Analytics, Business Intelligence and Information Technology experience spanning multiple industries. He is an Assistant Professor of Information Systems in the David Eccles School of Business at the University of Utah where he teaches courses on the application of analytics and related technologies within organizations. He speaks at industry conferences and leading universities covering topics from Sports Analytics and Information Systems. He is also an analytics consultant helping organizations define and execute on their analytics strategies and programs. During his career in industry, he has held consulting, management and executive positions in Analytics, Engineering and Product Management. Mike has a Master of Science from DePaul University and a Bachelor of Mathematics from the University of Waterloo.

Case Study: Succeeding with Analytics in Professional Hockey - Now and Into the Future

 Dragos Calitoiu

Dragos Calitoiu

Senior Modeler

TD Bank Group Canada

Dragos Calitoiu is a Senior Modeler with TD Canada Bank, designing, building and validating marketing and risk models related to credit cards. He obtained his Electronics degree from the Polytechnic University of Bucharest, Romania, and the Ph. D. in Computer Science from Carleton University, Ottawa, Canada. Dragos has over 30 publications, which include book chapters and refereed publications, reflecting results in Data Mining, Pattern Recognition and Machine Learning.

Case Study: Marketing Predictive Models (Response, Survival and Premium Models) for Credit Card Insurance

 John De Goes

John De Goes

CEO and CTO

Precog

John A. De Goes has been working professionally in distributed systems design and development for more than a decade. Author of multiple best-selling technical books, and a major contributor to open source, John has an extensive background in in scientific and distributed computing, and large-scale analytics. John is a frequent and well-received speaker at industry events. Recent engagements include DataWeek Conference, Glue Conference, Frontier Developers and NEScala. As CEO and CTO of Precog, John is responsible for leading the design and development of the company's data warehousing and analysis platform.

Case Study: The Productization of Predictive Analytics

Dr. John Elder, Ph.D.

Dr. John Elder, Ph.D.

Founder & Chair

Elder Research

@johnelder4

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.

Special Plenary Session: General Lessons We Can Learn from Blackbox Trading

 Larry Filler

Larry Filler

Partner

Boire Filler Group

Larry is a founding partner of the Boire Filler Group, a data analytics company devoted to leveraging data to optimize business results.

Larry has over 20 years experience in relationship and database marketing. He began his career at American Express where he developed and implemented marketing strategies for the company's insurance, credit card and merchant businesses. He also worked at the Loyalty Management Group where he advised retail clients on how to use the AIR MILES Reward Program to increase profits. Prior to starting BFG, Larry spent three years agency side at MacLaren McCann Relationship Marketing working with General Motors and its GM Card.

Over the years, Larry has worked across multiple industry sectors including Financial Services, Not-for-Profit, Telco, Packaged Goods, Automotive Gaming and Retail. Larry's focus is on transforming data from complex mining techniques into insights that can be leveraged to drive more effective CRM results. Larry is a hands-on partner who works closely with clients to develop their strategic data plans.

Larry is a frequent speaker, giving seminars and lectures at events organized by the Canadian Marketing Association (CMA), DM News, Association for the Advancement of Relationship Marketing (AARM), George Brown College, the University of Ontario Institute of Technology and Loyalty 360. Larry is a past member of the CMA's CRM Executive Council and he is currently a member of The Customer Strategy Network, a professional organization linking independent relationship and loyalty marketing practitioners from around the world.

Larry has a Bachelor of Science degree in Economics from the University of Wisconsin and an MBA in Marketing from York University.

Case Study: The Exploding World of Data: The Retail Impact

 John Foreman

John Foreman

Chief Data Scientist

MailChimp.com

John Foreman is the Chief Data Scientist at MailChimp.com, an email marketing service. John's main focus is MailChimp's Email Genome Project, which analyzes millions of email lists - and hundreds of millions of email addresses - to find stories and trends in the data. This research helps MailChimp understand the email ecosystem, prevent abuse, and create better experiences for everyone.

Case Study: Monkeys & Math: How MailChimp Catches Bad Guys

 Jane  Griffin

Jane Griffin

Executive Advisor, Deloitte Canada

As Americas Leader of Deloitte Analytics, Jane brings her vast experience to help clients use business analytics to drive smarter decisions and better results. She assists and advises her multi-industry clients in designing, developing and implementing technology and processes to efficiently leverage their information.

Jane has more than 30 years of information technology experience, focusing primarily on business analytics, enterprise information management and business intelligence.

She speaks internationally on master data management, data warehousing, data quality and enterprise information strategy. Her experience also includes starting her own information management company and establishing the data management and business intelligence practices for two large consulting organizations.

Diamond Sponsor Presentation: Wading into big data waters: when to tread lightly and when to dive in

 Sergo Grigalashvili

Sergo Grigalashvili

VP Architecture, Analytics, GSR

Crawford & Company

Sergo leads global efforts in enterprise technology architecture, analytics, and systems road mapping at Crawford & Company. His responsibilities include providing direction and leadership for development of business intelligence technology and statistical, data mining, and predictive analytic models for claim operations and client stewardship. Sergo has 16 years of technology industry experience; he has proven success in increasing maturity of enterprise technology architecture and in wide adoption of advanced analytics and business intelligence at organizations of various sizes; he earned a master's degree in management science and a bachelor's degree in applied mathematics and computer science.

Case Study: To Sue or Not to Sue: Predicting Litigation Risk

 Bangalore Gunashakar

Bangalore Gunashakar

Senior Technical Consultant

Broadspire

Bangalore Gunashakar is the Senior Technical Consultant of Broadspire - a Crawford & Company, the world's largest independent claims management provider servicing the insurance industry and self-insured organizations through a global network of more than 700 locations in 63 countries. In this role he has architectural, development, implementation responsibility for e-Triage application. He has been involved with e-Triage since its acquisition by Crawford over four years ago and has been the IT evangelist of the e-Triage product.

Prior to his current position, Bangalore served as IT Director, at Broadspire and has been promoted to positions of increasing responsibility, from Senior Software Engineer through IT Director. Since 1993 he has been delivering sound IT solutions to achieve strategic business goals. He has spent last 10 years in Insurance industry, providing IT leadership and delivering numerous strategic Projects and Products. He's a 'Certified Document Imaging Architect' and holds the 'Project Management Professional' certification from Project Management Institute since 2005.

Case Study: To Sue or Not to Sue: Predicting Litigation Risk

 Jean-Paul  Isson

Jean-Paul Isson

Author, International Speaker, Global Vice President BI & Predictive Analytics

Monster Worldwide

JP Isson authored an Amazon.com best seller book in 2012: Win with Advanced Business Analytics: Creating Business Value from your Data. He is an internationally recognized speaker and an expert in advanced business analytics. Mr. Isson is Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, Inc., where he has built his global business intelligence team from the ground up and successfully conceived and implemented global customer scoring/segmentation, predictive modeling, and Web mining applications building across North America, Europe, and Asia-Pacific. Prior to joining Monster, Isson led the global customer behavior modeling team at Rogers Wireless.

He is a guest lecturer in MBA classes and Executive Education programs at Queens School of Business, Paris Dauphine, McGill, HEC Montreal and the John Molson School of Business. Mr. Isson is also an Advisory Board Member of Queens MBA Master of Management Analytics (MMA) and was the Chairperson of the 2013 Business Innovation Conference in Vegas.

Mr. Isson frequently keynotes at international executive events, conferences and seminars and has over 18 years of experience in advanced business analytics focusing on big data, predictive analytics, customer behaviour modeling scoring and market segmentation sales coverage optimization.

He is a contributor to the Journal of American Management Association and has published several articles related to his successful implementation of advanced business analytics solutions in The Wall Street Journal, The Guardian, The Globe & Mail, The Gazette, Staffing Industry Magazine, Les Echos.fr, Libération, Le Devoir, and La Presse. In addition, Mr. Isson has appeared in various media outlets including TV to cover Big Data, Business Analytics and Employment conditions.

Case Study: Win With Advanced Analytics

 Tom Kern

Tom Kern

Risk Modeling Manager

Paychex, Inc.

Tom Kern is a Risk Modeling Manager at Paychex, Inc. Under the Risk Management umbrella, Tom helps to coordinate and execute a wide range of projects centered on predictive modeling, optimizing processes in all departments from sales strategy to internal operations and mitigating risk throughout the company.

Tom joined Paychex in 2012. Prior to Paychex, Tom was a Predictive Modeling Analyst with a large digital marketing agency, servicing major clients in the financial services, insurance, and automotive industries. He holds a MA from Boston University in Applied Statistics, and a BA from Boston University in Applied Mathematics. Tom is a four-time PAW speaker.

Case Study: Customer Retention: Pulling the Needle from the Haystack

 Jan Kestle

Jan Kestle

Founder and President

Environics Analytics

Jan Kestle has been a leader in the marketing information industry for nearly forty years. An expert in using statistics and mathematics to help solve business challenges, she has worked with hundreds of clients in dozens of industries to help them solve their business challenges. In November 2003, she founded Environics Analytics, in partnership with the Environics group of companies, establishing a new marketing services company based in Toronto. She has since directed the initiatives creating the pioneering PRIZM CE and PRIZM C2 segmentation systems that combine geodemographics with psychographic Social Values to classify consumers by both their mindset and marketplace behaviour. In addition, she oversaw the development of a number of innovative marketing products by EA research and development teams: WealthScapes, GreenScapes, Envision and the Diversity Micromarketing Toolkit. Prior to founding EA, Jan was president of Compusearch and spent 19 years at the Ontario Statistical Centre, where she developed an expertise in the Canadian census and its applications in marketing and social research. She is the recipient of a Bachelor of Science degree in Applied Mathematics from the University of Western Ontario.

Panel Discussion: What is Big Data Analytics: A Canadian Perspective

 Natalie Kortum

Natalie Kortum

Consultant

When Natalie was in 4th grade, she created an idea that became a national commercial for Tide.  Having peaked on the creative side at such a young age, she decided to dedicate the rest of her advertising career to helping business leaders make better marketing decisions based on data and research.


And dedicated she has been. Her resume reads like a Fortune 500 wish list: PwC, IBM, CoreMetrics, Dell, Humana, and The Richards Group.  Her core competencies include everything from pricing and marketing mix modeling to decision science management and data science. But wait, there’s more: Natalie has also invented and patented multiple marketing optimization models, teaches Big Data at conferences, and hosts her own blog celebrating the confluence of mathematics and marketing.

Case Study: The Illusive Brand: How to Measure Brand and the Communications Focused On It

 Eric Legrand

Eric Legrand

Data Scientist

Wells Fargo

Eric Legrand is a Data Scientist at Wells Fargo where he focuses on big data analytics. Eric's experience spans financial services, food service and technology start-ups. Eric studied mathematics and philosophy at Wheaton College, IL, received a certificate in Management Science and Engineering at Stanford, and is currently working on an MS in Predictive Analytics at Northwestern University.

Case Study: Data Visualization Design Using Shneiderman's Mantra: Overview First, Zoom and Filter, Then Details-On-Demand

 Dan  MacKinnon

Dan MacKinnon

Director of Player Personnel

Pittsburgh Penguins

MacKinnon, 38, oversees the Penguins' scouting operations in North America and Europe. He works closely with the Penguins directors of professional and amateur scouting to ensure that the organization maintains its strategic and comprehensive focus in player scouting, evaluation and acquisition at all levels. MacKinnon also advises General Manager, Ray Shero, on all Penguins' player transactions.

MacKinnon served as the Penguins' Director of Professional Scouting when Pittsburgh captured the Stanley Cup in 2009. As part of his current duties, MacKinnon steers the Penguins' strategic direction in utilizing emerging hockey analytics to supplement their internal and external player evaluation.

Case Study: Succeeding with Analytics in Professional Hockey - Now and Into the Future

 Jamie  McDougall

Jamie McDougall

Vice President, Personal Insurance Solutions

Gore Mutual

Jamie McDougall is Vice President, Personal Insurance Solutions at Gore Mutual Insurance Company. Established in 1839, Gore Mutual is Canada's oldest Property & Casualty insurance company. Jamie leads Gore Mutual's Personal Insurance team, overseeing the national underwriting operations as well as product development and pricing. His team has been recognized in the last 4 surveys conducted by the Insurance Brokers Association of Ontario (IBAO), for their achievement of excellent performance.

Jamie began his work with Gore Mutual in 2000 as an operational process improvement consultant and completed numerous projects detailing and analyzing operational processes in claims, finance and underwriting. Following on the success of these projects, he was promoted to the role of Director, Claims Analysis and Planning in 2001 and then Vice President of Claims in 2004. Facilitating the development of claims strategies, he established innovative reporting and analysis databases, and tools for evaluating claims handling effectiveness and efficiencies. Jamie transitioned to Personal Insurance in 2007, as Vice President. During an executive transition period, Jamie also took on the responsibility of Gore Mutual's national commercial underwriting operation in 2011. He now dedicates his efforts to Personal Insurance and the numerous industry developments that are occurring , including exploration of predictive analytics and telematics. Jamie serves on various industry organizations including the iClarify Steering Committee for OPTA Information Intelligence.

Jamie holds his MBA degree from the Haskayne School of Business at the University of Calgary. His prior work experience includes coaching executives across multiple industries, as a Management Consultant in process improvement, performance management and strategy. Outside of the office, one will usually find Jamie, a certified SCUBA instructor, underwater enjoying a dive or helping others discover this fascinating hobby.

Panel Discussion: Predictive Analytics in Insurance Risk

 Kevin Mongeon

Kevin Mongeon

Co-Founder

The Sports Analytics Institute

Kevin is a principal owner of the Sports Analytics Institute, a company that provides analytical consulting services to professional hockey clubs, and an Assistant Professor of Economics at the University of New Haven. Kevin obtained his Ph.D. in economics from Washington State University, his MBA from the University of Windsor, and his mathematics degree from a Lakehead University. Kevin is originally from Iroquios Falls, Ontario, Canada.

Case Study: Succeeding with Analytics in Professional Hockey - Now and Into the Future

 Brett  Mooney

Brett Mooney

Vice President, Consumer Acquisition and Management

American Express

Brett Mooney has over 11 years experience leveraging data to create insights and inform actions that drive meaningful business results. He has spent the majority of his career in financial services and with American Express in roles which are grounded in data and analytics. Brett has experience across multiple international Markets and a diverse set of functions including Product Management, Consumer Lending, Information Management, Risk Management, New Product Development, Marketing Capabilities, and Acquisition. Currently, Brett is the Head of Consumer Acquisition and Management for American Express in Canada. In this position, Brett is responsible for the end to end customer lifecycle from the point of deploying investments to acquire new Cardmembers, to engaging them throughout their tenure to enabling retention activities. His Team heavily leverages data and analytics across the entire lifecycle to inform and optimize investments, gather insights to create new forms of value, and build more meaningful relationships with Cardmembers.

Prior to American Express, Brett was employed by Kraft Foods in the Strategic Analytics department where he was responsible for improving the profitability of Product and Corporate level promotions. While at Kraft, Brett also supported new product development and was responsible for leveraging data to inform sales strategy and effectiveness.

Brett holds a Bachelors of Business Administration degree from Wifrid Laurier University and a Masters of Business Administration from Kellogg-Schulich School of Management. Brett and his wife, Nancy, live in Toronto and enjoy spending time with their two young children, Ethan and Chloe.

Keynote: Enabling Data Driven Marketing in a Digital and Social World

 Hasan Mytkolli

Hasan Mytkolli

Lead - Statistical Modeling, Forecasting and Reporting

TD Bank Group Canada

Hasan Mytkolli is Lead - Statistical Modeling, Forecasting and Reporting at TD Canada Bank Group. He has a PhD in Applied Statistics and more than 20 years academic, research and industry (finance-related) experience.

Case Study: Marketing Predictive Models (Response, Survival and Premium Models) for Credit Card Insurance

 Greta Roberts

Greta Roberts

Co-Founder & CEO

Talent Analytics, Corp.

@GretaRoberts

Greta Roberts is an acknowledged influencer in the field of predictive workforce analytics. Her continued vision is to bridge the gap between the business, predictive analytics and workforce communities. Since co-founding Talent Analytics in 2001, Greta has established Talent Analytics, Corp. as the globally recognized leader in predicting employee performance, pre-hire.

In addition to being a contributing author to numerous predictive analytics books, she is regularly invited to comment in the media and speak at high end predictive analytics and business events around the world. Through recognition of her commitment and leadership, Greta was elected and continues to be Chair of Predictive Analytics World for Workforce. Additionally, she is a Faculty Member with the International Institute for Analytics (IIA) and an Analytics Certification Board Member of INFORMS.

Case Study: Using Analytics to Build Your Analytics Bench: Announcing 2012 Analytics Professionals Study Results

 Hashmat  Rohian

Hashmat Rohian

AVP Research & Development

Aviva Canada

Hashmat Rohian (MSc, MFEng, CFE, PMP, CISSP) is AVP of Research & Development at Aviva Canada, the country’s second largest property and casualty insurance company. Hashmat has over ten years of solid professional experience in improving business outcomes and business processes through the use of advanced analytics technologies such as predictive and causal modeling, Big Data, CRM, geo-spatial, social network and fraud analytics in a variety of senior roles.

Through a combination of his academic background and teaching experience in finance, information technology, machine learning, and applied mathematics as well as work experience in a broad portfolio of data-driven business solutions and decision-support services, Hashmat has a unique blend of business acumen, training & coaching skills and technical knowledge to help organizations achieve competitive advantage through expert data mining thus intensifying their strategic insight capabilities. He has consulted with clients to tackle challenging business intelligence problems in optimal pricing, fraud analytics, solution negotiation, loyalty marketing, process optimization and strategic initiatives for startups, large corporations and not for profits by bringing cutting-edge research into front-line practice.

Throughout his extensive international experience serving clients in Europe, Asia and North America, Hashmat has worked with several clients to determine analytics and business intelligence strategy, articulate solution objectives, set priorities and lead key business initiatives ensuring a long term view and incorporating the full analytical life cycle. He has consulted and helped develop and implement digital strategy for clients in a broad range of industries. Having worked in six countries, Hashmat is adept in handling cross-cultural and multi-disciplinary assignments. He has published articles in several academic journals and given interviews on business news magazines and TV to cover Data Mining and Web/Social Media Analytics.

Panel Discussion: Predictive Analytics in Insurance Risk

 Stuart Rose

Stuart Rose

Global Insurance Marketing Manager

SAS Institute

Stuart Rose is Global Insurance Marketing Manager at SAS Institute. Stuart began his career as an Actuary, and now has over 20 years' experience in the insurance industry. Prior to working for SAS, Stuart worked for a leading global insurance company in both their Life and Property and Casualty divisions. He also worked for a variety of software vendors where he was responsible for marketing, product management, and application development. He has been responsible for the successful development and implementation of enterprise systems working with insurance companies in United States, United Kingdom, Europe, and South Africa. Stuart graduated from Sheffield University with a BSc in Mathematical Studies.

Moderator: Predictive Analytics in Insurance Risk
Gold Sponsor Presentation: Analytics & Crunching the Future

 Gary Saarenvirta

Gary Saarenvirta

Chief Executive Officer

makeplain

As an internationally recognized expert in the profitable application of Business Intelligence and Advanced Analytics, Gary Saarenvirta has achieved hundreds of millions of dollars in bottom-line results for his clients in the banking, insurance, retail, telecommunication and manufacturing sectors.

Gary is the former head of IBM Canada's analytics and data warehousing practices, and was also at the helm Loyalty Consulting Group, providing analytical services for one of the world's most successful coalition loyalty programs, the AIR MILES Reward Program. Prior to his leadership role at Loyalty Consulting Group, Gary built the company's first generation data warehouse and BI platform.

Gary holds both a BASc and MASc in aerospace engineering from the University of Toronto.

Case Study: The Exploding World of Data: The Retail Impact

 Rupen Seoni

Rupen Seoni

Senior Vice President, Practice Leader

Environics Analytics

Senior Vice President and Practice Leader at Environics Analytics, Rupen Seoni leads a practice area that includes the public sector, health care, energy and not-for-profits. He brings to his position over twenty years of experience in marketing analytics, working with organizations of all sizes to unlock the value of information in decision-making and business strategy. He specializes in helping organizations understand population trends, segmentation and performance benchmarking. Rupen earned a master’s degree in urban planning and held positions with Nielsen, Compusearch, Campbell Soup and CIBC prior to joining Environics Analytics. For the last two years, he has appeared on CTV’s Canadian and U.S. federal election coverage as a commentator on voter demographics in key races.

Panel Discussion: What is Big Data Analytics: A Canadian Perspective

 Wenlei Shi

Wenlei Shi

Manager, Statistical Analysis

Scotiabank

Wenlei Shi has more than 15 years of financial services experience. She specializes in data integration, data mining and statistical modeling. With Scotiabank since 2006, she is responsible for applying the data mining techiques and statistical analysis to develop forecases, predictive models and other data mining projects to support various of business lines. She has extensive experience in all aspects of data mining and has solved many challenges in different fields both inside and outside of the bank. Wenlei has Masters degree in Statistics from University of Toronto and bachelors degree in Computer Science from HUST (Huazhong University of Science and Technology).

Case Study: Mortgage Liquidation Model Building and Application

 Shel Smith

Shel Smith

Partner and Founder

Twenty Ten

Shel Smith is Partner and Founder of Twenty-Ten Inc., a leading marketing analytics firm based in New York City and Toronto.

Twenty-Ten has the patented ability to enable direct mathematical linkage between quantitative attitudinal profiles and real consumers without proxies or syndicated data. Focused on attitudinal consumer targeting across D2C, mass media and digital media touch-points, Twenty-Ten consistently delivers 15-20% improvements on ROI over traditional analytic modeling to a broad base of Fortune 500 clients including Procter & Gamble, Target, Ford and Time Warner.

Shel brings over 25 years of marketing experience from both the agency and client perspective and started his career as a brand builder at Colgate-Palmolive. Shel is the holder of two U.S. patents (and four patents pending) and has a B.A. and M.B.A. from McGill University.

Case Study: Using Attitudinal Behaviour to Determine Media Spend

 Colin Smith

Colin Smith

Senior Vice President of Operations

Opta Information Intelligence

Colin has more than 18 years of experience in business planning, execution, operations and information technology in continuously progressive management positions. He is recognized for his creative, innovative and collaborative approach to business and brings a well-rounded perspective to the value of information in the insurance industry.

Colin currently holds the position of Senior Vice President of Operations at Opta Information Intelligence, an SCM company dedicated to helping drive profitable growth for clients by creatively deriving and delivering business value through information and innovation.

Panel Discussion: Predictive Analytics in Insurance Risk

Dr. Patrick Surry

Dr. Patrick Surry

Chief Data Scientist

Hopper

@PatrickSurry

As Chief Data Scientist at Hopper, Patrick Surry analyzes flight data to help consumers make smarter travel choices. Patrick is recognized as a travel expert and he frequently provides data-driven insight on the travel industry and trends.


Patrick’s research and commentary have been featured in outlets such as New York Times, USA Today, Bloomberg Businessweek, TIME, and many others. Patrick also regularly appears on various broadcast stations to offer travel insight and tips.


Patrick holds a PhD in mathematics and statistics from the University of Edinburgh, where he studied optimization based on evolutionary algorithms, following an HBSc in continuum mechanics from the University of Western Ontario.


You can also follow Patrick on Twitter at @PatrickSurry.

Case Study: Uplift Modeling in Theory & Practice

 Paul Tyndall

Paul Tyndall

Director, Client Knowledge & Insights

RBC Royal Bank

Paul Tyndall joined RBC in late 2007 to provide leadership and direction for its predictive modelling & segmentation efforts. Currently, his team is responsible for generating client insights that support the Canadian Banking group in achieving its business objectives. This work involves leveraging various areas of subject matter expertise including business analytics, predictive analytics, customer profitability, strategic market research and marketing innovation to solve key strategic and tactical business problems.

Before joining RBC, Paul was General Manager of Transcontinental Database Marketing, a company he initially joined in 2000 as Director of Analytics. There he consulted with clients on all aspects of customer relationship marketing from database management and statistical analysis to marketing strategy and implementation.

Previously, Paul worked in the Database Marketing group at Royal Trust where he was responsible for providing database marketing analysis for Royal Bank's Wealth Management group. Prior to that Paul worked at InfoWorks, a division of Rapp Collins, providing data analytics services to a variety of clients.

Paul holds a Master of Science degree from the University of Toronto. His articles have appeared in various marketing publications and he is regularly invited to speak on the topic of customer analytics at industry conferences.

Panel Discussion: What is Big Data Analytics: A Canadian Perspective
Case Study: Data Visualization Design Using Shneiderman's Mantra: Overview First, Zoom and Filter, Then Details-On-Demand

 Emma Warrillow

Emma Warrillow

SVP, Research & Data Insights

Shift Paradigm

SVP, Research & Data Insights at Shift Paradigm and active member of the CMA Insights Council, Emma has over 25 years experience helping organizations with the strategic use of customer data to drive business results. Her work has spanned a variety of industries in B2C and B2B, including those who market to intermediaries (like brokers).She is a recognized expert in her field and is a highly sought-after speaker, judge, panelist, and frequent contributor to industry publications.

Case Study: Divide and Conquer: Enhancing Predictions through Segmentation

 Jane Zhong

Jane Zhong

Senior Manager

Scotiabank

Jane Zhong is Senior Manager of Predictive Analytics team at Scotiabank. She leads the team to provide advanced analytical services for retail banking, and is responsible for predictive modeling, segmentation, data mining, and optimization. Jane has over 10-years analytical experience in marketing, risk management and business groups, and over 5-years research experience at various universities. Prior to Scotiabank, she worked for TD bank and Sears Canada. Jane holds both B.S. and M.S. in engineering from Northwestern Polytechnical University in China and Ph.D in Automation from the Institute of Automation Chinese Academy of Sciences. She was a Postdoctoral Fellow at University of Toronto.

Case Study: Mortgage Liquidation Model Building and Application

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