Dean Abbott
Chief Data Scientist
Abbott Analytics
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
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
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
Co-Founder
The Sports Analytics Institute
Case Study: Succeeding with Analytics in Professional Hockey - Now and Into the Future
Dragos Calitoiu
Senior Modeler
TD Bank Group Canada
Case Study: Marketing Predictive Models (Response, Survival and Premium Models) for Credit Card Insurance
John De Goes
CEO and CTO
Precog
Case Study: The Productization of Predictive Analytics
Dr. John Elder, Ph.D.
Founder & Chair
Elder Research
John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, and Washington DC. 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
Joseph D. Fargnoli
Fellow
RITRE Corporation
Case Study: Monkeys & Math: The New Intelligence Tradecraft: Case Studies of Activity Based Intelligence Enabled by the Application of Predictive Analytics Tools on Big Data - a Discussion of Experience and Future Potential
Larry Filler
Partner
Boire Filler Group
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
Chief Data Scientist
MailChimp.com
Case Study: Monkeys & Math: How MailChimp Catches Bad Guys
Jane Griffin
Executive Advisor, Deloitte Canada
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
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
Senior Technical Consultant
Broadspire
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
Author, International Speaker, Global Vice President BI & Predictive Analytics
Monster Worldwide
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
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
Founder and President
Environics Analytics
Panel Discussion: What is Big Data Analytics: A Canadian Perspective
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
Data Scientist
Wells Fargo
Dan MacKinnon
Director of Player Personnel
Pittsburgh Penguins
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
Vice President, Personal Insurance Solutions
Gore Mutual
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
Co-Founder
The Sports Analytics Institute
Case Study: Succeeding with Analytics in Professional Hockey - Now and Into the Future
Brett Mooney
Vice President, Consumer Acquisition and Management
American Express
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
Lead - Statistical Modeling, Forecasting and Reporting
TD Bank Group Canada
Case Study: Marketing Predictive Models (Response, Survival and Premium Models) for Credit Card Insurance
Greta Roberts
Co-Founder & CEO
Talent Analytics, Corp.
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
AVP Research & Development
Aviva Canada
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
Global Insurance Marketing Manager
SAS Institute
Moderator: Predictive Analytics in Insurance Risk
Gold Sponsor Presentation:
Analytics & Crunching the Future
Gary Saarenvirta
Chief Executive Officer
makeplain
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
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
Manager, Statistical Analysis
Scotiabank
Case Study: Mortgage Liquidation Model Building and Application
Shel Smith
Partner and Founder
Twenty Ten
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
Senior Vice President of Operations
Opta Information Intelligence
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
Chief Data Scientist
Hopper
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
Director, Client Knowledge & Insights
RBC Royal Bank
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
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
Senior Manager
Scotiabank
Case Study: Mortgage Liquidation Model Building and Application