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Speakers Predictive Analytics World Toronto 2014
 Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist

SmarterHQ

@deanabb

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.


Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.


He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).

Case Study: My 5 Pet Peeves in Predictive Analytics
Workshop: Advanced Methods Hands-on: Predictive Modeling Techniques

 Barb Addie

Barb Addie

President

Baron Insurance Services

Barbara is President of Baron Insurance Services Inc., and has been active in the P&C industry since 1979. She has held management portfolios of increasing responsibility culminating in her appointment as President and CEO of a large P&C insurance group that included two insurance companies and two independent brokerages. She has extensive experience in development and implementation of corporate strategies with respect to distribution, market segmentation, pricing, product development and marketing. She has both bought and sold companies and brokerages, established and run direct response insurance operations, and managed the implementation of IT systems. She is the Appointed Actuary for several insurance companies.

Barb holds a Bachelor of Mathematics (Honours, Co-op) degree from the University of Waterloo and is a Fellow of both the Canadian Institute of Actuaries and the Casualty Actuarial Society.

Expert Panel: The Future of Predictive Analytics in Insurance

 Richard Boire

Richard Boire

Senior Vice President

Environics 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 Data Scientist and Value Architect: The People Factor to Success 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: Designing Effective Hockey Teams through Physical Diversity

 Dragos Capan

Dragos Capan

Statistician

Workplace Safety and Insurance Board

Dragos Daniel Capan is a Statistician in the Corporate Statistics Division at the Workplace Safety Insurance Board in Toronto, Ontario, Canada. He has over 10 years' experience in health care research and analytics. Dragos holds a Master of Science in Statistics from McMaster University and is a SAS Certified Advanced Programmer.

Case Study: Discrete Time Logistic Hazards Models for Workplace Safety Insurance On-Benefit Duration Models

 Carlos  Coutinho

Carlos Coutinho

Vice President

Orion Travel Insurance

Carlos is an insurance professional with over 26 years of experience in financial services.

Carlos' insurance career began at Lombard Insurance in 1999 as director of Zenith Insurance Company's operations. Building a national home and auto operation with call centres in BC, Alberta, Ontario, Quebec and New Brunswick, Carlos was promoted to Vice President and General Manager of Zenith in 2001. Previously with CIBC, Carlos was General Manger of collections.

Carlos joined CAA in 2005 as director of broker operations. In 2010, Carlos was tasked with setting up a new travel insurance Company, Orion Travel Insurance. The company was launched in May of 2012 and now writes business in Ontario, Alberta, and the Atlantic provinces.

The company is growing quickly and attributes its success largely to the use of predictive analytics and risk modeling.

Carlos is a graduate of York University in Toronto where he received a bachelor's degree majoring in Economics in 1984.

Expert Panel: The Future of Predictive Analytics in Insurance

 Joel Cumming

Joel Cumming

Director, Advanced Analytics and Big Data Systems

BlackBerry

Joel has over 10 years of experience in data sciences, data architecture, and software development. His passion lies in making a difference using big data and analytics, with a goal of changing lives and not just the bottom line. Through his career, Joel has had varying technical development roles as well as experience leading high performance data sciences and development teams. He has always fostered the culture of a start-up within a larger organization, and has 6 patent filings on topics ranging from social location sharing to mobile advertising. In his current role, Joel leads iterative development on a flexible and expanding 400+ TB, 1+ trillion record advanced analytical data environment which transforms BlackBerry data into a holistic view of the end customer, leveraging traditional technology as well as open source Big Data technology. The resulting models provide fundamental information about the global customer base, including device usage behavior, social graphs, churn measurement, enterprise penetration/adoption, and correlations between disparate infrastructure systems. These models serve as the core foundation for customer focused data mining, predictive modeling, recommendation engines, and CRM/database marketing at BlackBerry.

Case Study: Adopting Predictive Analytics to the Big Data World

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.

Keynote: The Peril of Vast Search (and How Target Shuffling Can Save Science)
Workshop: The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes

 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: Integrating Analytics and Research for Improved Consumers Insights

 Yuan Ming Guo

Yuan Ming Guo

Director of Consumer Risk

Fifth Third Bank

John Guo, Ph.D., is a Director of Consumer Risk at Fifth Third Bank. He received his Ph.D. in Business Administration and M.S. in Industry Engineering from the Pennsylvania State University. He has over fifteen years of management experience in consumer lending/banking (Credit Card and Auto Finance) Modeling, Loss Forecasting, Acquisitions and Portfolio Risk Management (5+ yrs), Consumer Real Estate (10 yrs), Credit Policy, Risk Modeling, Underwriting Quality Control and Fraud Prevention, Third Party Management, Portfolio Risk Management, Stress Testing, Basel, Economic Capital, Decision Sciences, and Database Management. He previously held senior risk management positions in JPM Chase, HSBC as Director, Vice President, Senior Vice President and Managed Business Risk function as Chief Credit Officer, HSBC Mortgage Corporation. John also has extensive publications. He has research articles published in Decision Sciences Journal, Transport Research, Journal of the Operational Research Society, and Journal of Business Logistics.

Case Study: Loss Estimation Models in CCAR: Comprehensive Capital Analysis and Review by FED

 Tracey Jarosz

Tracey Jarosz

Senior Director Business Intelligence and Analytics

CIBC

Expert Panel: The Future of Predictive Analytics in Insurance

 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: Shaping Sales Strategy with Predictive Analytics

 Daymond Ling

Daymond Ling

Senior Director, Advanced Analytics

CIBC

Daymond Ling is Senior Director of Modeling & Analytics at Canadian Imperial Bank of Commerce (CIBC) where he is responsible for customer analytics for the Retail Bank which has 8 million retail customers and half a million small business customers. Daymond oversees:

* Marketing Propensity Models to drive sales revenue;
* In-depth Customer Insight of customer acquisition, lifecycle, lifestyle, and triggers to uncover new sales opportunities;
* Customer Segmentation to drive customer management strategy; Optimization to maximize Revenue and ROI across business processes.

Daymond has 30 years of experience in Data Mining and Analytics. 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.

Expert Panel: The Future of Predictive Analytics in Insurance

 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.

Expert Panel: The Future of Predictive Analytics in Insurance

 Shirin Mojarad

Shirin Mojarad

Data Scientist

McGraw Hill Education

Dr. Shirin Mojarad is a senior analytics specialist in the Advanced Analytics team at the Canadian Imperial Bank of Commerce (CIBC). She is an expert in navigating and deriving insight from large datasets using data mining techniques. She has wide experience in framing and conducting complex analyses and experiments using large datasets to find trends in diverse data sources and analyze behavioral patterns using advanced statistical modeling and data mining techniques.

Shirin was formerly a data mining consultant with a leading software company in predictive analytics. She received her Ph.D. in Electrical Engineering and her M.Sc. in Communications and Signal Processing from Newcastle University U.K., where she specialized in predictive modeling and artificial neural networks.

Case Study: Survey Response Prediction and its Implications

 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: Designing Effective Hockey Teams through Physical Diversity

 Neal Oman

Neal Oman

Director of Data Science

Medio

Neal has over 20 years of business software engineering, advanced predictive analysis, and analytic systems development/consulting experience.

As Medio's Director of Data Science, Neal and his team work on constructing predictive models using machine-learning techniques and systematizing their use for personalizing mobile app content selection and recommendation.

Prior to joining Medio Neal was Vice President of Client Services and Engineering at Finsphere Corporation and he held various technical executive roles at Intelligent Results and Onyx Software Corporation.

 Tom Peters

Tom Peters

Partner, Deloitte

National Consumer Business Analytics Leader

As one of the analytics practice leaders at Deloitte, Tom's focus is to help and advise clients on how to leverage advanced statistical methodologies to drive better decisions and to improve market performance against their competitors.

The science behind analytics can be complicated. For Dr. Peters, "analytics" is about uncovering relationships within disparate sources of enterprise and market data. This data is used to classify, predict, forecast and simulate new business outcomes. Simply put, "We use technology, processing power and creative problem solving to examine issues from every possible angle - everything from driving increased revenue through pricing or customer acquisition and retention, reducing supply chain costs, improving workforce processes, or reducing the risk of fraudulent behaviour."

Before coming to Deloitte, Tom spent 20 years working in the customer and financial analytics domain specializing in marketing and research analytics to support marketing strategy development. Tom's experience advising clients on product development programs, new product pricing strategy, menu price optimization, and CRM campaign design and optimization have shaped his perspective on how valuable data analytics can be to organizations that have made it part of their business process and culture.

Tom is an experienced professional across a range of sectors such as financial services, telecommunications, travel, food services (QSR), retail, agriculture and agribusiness, automotive, power utilities and technology sectors. He received an MA and Ph.D. in Economics and Econometrics from University of Western Ontario in 1986.

Case Study: Cross-selling Retail Liquor Products: A Segmented Market Basket Approach

 Roger Plourde

Roger Plourde

President

Intema Solutions

Roger Plourde contributed to the branding of several mass market retailers (Provigo, Metro...) for several years before seeing the vast marketing potential of the Internet from its early days and becoming one the few pioneers to help Canadian companies invest the digital space.

After having set up several companies in the communications and marketing fields, he transformed Intema, a family startup into a Canadian leader in digital marketing solutions.

Twenty years after pioneering in digital marketing, he is pioneering again by introducing predictive analytics to Email marketing with the Predictive Marketing Engine.

Case Study: Predictive Analytics to the Rescue of E-mail Marketing

 Daniel Porter

Daniel Porter

Co-Founder

BlueLabs

Daniel Porter is the cofounder of BlueLabs, a Washington DC based analytics, data and technology company whose clients include political campaigns, nonprofits and corporations.


Prior to founding BlueLabs, Daniel was Director of Statistical Modeling for the 2012 Obama reelection campaign. His team developed individual level statistical models that were used throughout the campaign for fundraising, media buying and state strategy. These models served two primary purposes: to pinpoint which voters were most likely to take an action or hold a belief (i.e. support the President or turn out to vote) as well as to measure the influence a campaign contact had on an individual's likelihood to take such actions or change their beliefs. Combined, these measures helped the campaign optimize their targeting to maximize their return on investment.

Keynote: Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters

 Steven Ramirez

Steven Ramirez

CEO

Beyond the Arc

@beyondthearc

Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

Case Study: Data, Data Everywhere: Leveraging Predictive Analytics to Unlock Consumer Concerns and Eliminate Dissatisfaction

 Pasha Roberts

Pasha Roberts

Co-Founder and Chief Scientist

Talent Analytics, Corp.

@pasharoberts

Pasha Roberts is chief scientist at Talent Analytics Corp., a company that uses data science to model and optimize employee performance in areas such as call center staff, sales organizations and analytics professionals. He wrote the first implementation of the company’s software over a decade ago and continues to drive new features and platforms for the company. He holds a bachelor’s degree in economics and Russian studies from The College of William and Mary, and a master of science degree in financial engineering from the MIT Sloan School of Management.

Case Study: Data Science Approach to Reduce Call Center Attrition

 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.

Keynote: Using Predictive Analytics to Predict Employee Performance and Attrition in the Knowledge Economy

 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.

Expert Panel: Predictive Analytics in the Big Data World: Myths and Realities

 James Smith

James Smith

Lead Data Governance, Director, Data Assets

Canada Post

With over 25 years' experience in Technology, Operations, and Information Management; James brings a unique 360 degree view to data. His strategic approach to data management and governance has enabled him to plan and deliver value; projects and systems; and shape corporate direction across Financial, Retail, Loyalty and Government verticals. In his current role as Lead, Enterprise Data Governance Office, and Director Data Assets at Canada Post; James ensures the quality, classification, administration, architecture, policy, strategy and stewardship of the data assets of the Corporation.

Case Study: Realizing the Value of Big Data: Turning Operational Data into Commercial Solutions through the Power of Predictive Modeling

 Jim Sulston

Jim Sulston

Manager, Analytics

North Waterloo Farmers Mutual Insurance Company

Jim has held Analytics leadership roles within P&C industry for the past 10+ years. He has lead a wide range of predictive modeling projects focusing on underwriting, claims and marketing. He has extensive experience developing pricing plans in various lines of business for several regions of Canada. Jim has lead the development and implementation of scoring models for policyholders, claimants and brokers.

He has utilized a number of different Analytics techniques specific to the P&C industry.

Jim holds a Bachelor of Mathematics (Statistics) degree from the University of Waterloo, MBA from Wilfred Laurier University and has a CIP designation.

Expert Panel: The Future of Predictive Analytics in Insurance

 Colin Tener

Colin Tener

Managing Partner

CVM Marketing

Colin has spent over twenty years helping organizations leverage the strategic value of their customer and prospect data. He brings a combination of analytical expertise, industry experience and a practical implementation approach to a broad range of marketing issues. His ability to explain complex analytical results in business terms, the "so-what's", has helped clients cut through the clutter and design effective, efficient and profitable marketing programs. Typical applications include helping to develop database marketing strategies, designing marketing databases for both analytical & executional effectiveness, building predictive models and customer segmentation systems, developing tracking & measurement templates and helping instill a "learning culture" through proper test and control design.

Colin's clients have been drawn from a diverse range of traditional and non- traditional database marketing industries across North America, including: banking, wealth management, insurance, telecommunications, retail, pharmaceutical, catalogue, grocery, fund raising, shipping, transportation, office supplies, software, computer hardware and packaged goods. He is a regular speaker at North American conferences where he seeks to de-mystify statistical techniques and demonstrate the power of data-based marketing.

Case Study: Addressing the "Analyst/Marketer" Disconnect: 9 1/2 Steps to a More Successful Collaboration

 Emma Warrillow

Emma Warrillow

President

Data Insight Group

A marketing strategist with a talent for numbers, Emma Warrillow uses analytics as the foundation for customer-centric marketing strategies. Emma has worked in both the corporate and consulting side of customer management and marketing analytics for more than two decades.

Through her company, DiG (Data Insight Group Inc.), Emma and her team of senior database and analytics professionals help companies understand their customer data and what it is saying about their customers.

With a Masters degree in Management Sciences (Waterloo) and an undergraduate degree in Mathematics and Statistics (Queen's), Emma is uniquely qualified to understand the analytics and business of customer relationship strategies.

Prior to DiG, Emma worked for Royal Bank and Bank of Montreal, IBM and Ernst and Young. She has developed and taught post graduate courses at George Brown College, has judged awards for both NAMMU and the CMA, and has served as Vice Chair of the CMA's Council on Marketing Intelligence and Database Technology.

Expert Panel: Predictive Analytics in the Big Data World: What's New vs. What's Old

 Christina Wolf

Christina Wolf

Chief Economist

The British Columbia Securities Commission

Christina Wolf is Chief Economist and Director of Economic Analysis at the British Columbia Securities Commission. She leads a team that brings market-based thinking to key policy projects, conducts regulatory impact analysis, and leads the BCSC's risk management and strategic planning functions. For the last three years, she has been leading an initiative to bring a series of predictive risk models to the BCSC to orient our oversight work. Before joining the BCSC, Ms. Wolf spent eight years with the Boston Consulting Group.

Case Study: Regulatory Oversight Using Predictive Risk Models

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