Transform YOUR business with big data, analytics, AI and ... · Transform YOUR business with big...

February 7 - 8, 2018 • Marriott Eaton Centre, Toronto

Transform YOUR business with big data, analytics, AI and machine learning.

www.BigDataSummitCanada.com

Kathryn Todd, Vice President, Research, Innovation & Analytics, Alberta Health Services

Gloria Kupferman, Chief Data Strategy Officer, American Hospital Association

Sylvie Makhzoum, Vice President Data, Analytics & Insights, TD Insurance

Axel Bedikyan, Director of Business Analytics and Consumer Insights, Cirque du Soleil

Sean O'Brien, Director of Analytics & Research, Maple Leaf Sports and Entertainment

Sol Rashidi, Chief Data & Cognitive Officer, Royal Caribbean International

AI and machine learning

Personalizing customer experience

Addressing regulatory concerns in big data

Building predictive and prescriptive models

Handling disparate data

Gaining organizational support

Harnessing the power of blockchain

Customer analytics

Cognitive computing

Meet + Network + Learn From:

Silver Sponsors:

Take Away Key Strategies For:

Strategy Institute presents... MLSE, Cirque du Soleil, Shoppers, Scotiabank,

Royal Caribbean, and more!

Bronze Sponsors:

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om

Artificial Intelligence: Leverage the Power of AI to Create Efficiencies and Improve Returns

Machine Learning: Process More Data, More Efficiently to Achieve a Competitive Advantage

Building an Advanced Analytics Team to Drive Results

Master Class Post Conference Workshops :

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B

C

Association Partners:Gold Sponsors:

Media Partners:

This event has grown into the must-attend gathering for

senior business leaders who want to stay ahead in this

rapidly changing field. We’ve moved beyond making the

case for big data; today it’s a reality.

Now the task is to make the most of big data, to monetize

it, to drive deficiencies, and to create a competitive

advantage. This event brings together big data and

analytics leader from across North America who will show

you how to do exactly that.

Hear first-hand case studies about how to improve

your business processes, drive revenues, and improve

customer loyalty with big data and analytics.

Your Big Data and Analytics Team

Strategy Institute

Welcome to the largest cross-industry

big data, analytics, AI, & machine

learning conference in Canada

Meet + Network + Learn From

• AI & Machine Learning Workshops: Get in-depth details on assembling a big data team, employing artificial intelligence, and mastering machine learning.

• Blockchain: Take advantage of this revolutionary technology

• Data Visualization: Better communicate data

• Securing Big Data: Maintain the security of your data

• Scalable, Agile Solutions: Support the technical side of big data

• AI and Machine Learning: Explore new content on the hottest areas of data science

• More Interactive Sessions: Test best practices via two new interactive sessions

• More Speakers: Gain new perspectives from more than two dozen big data and analytics leaders

• C-Level Speakers: Source strategies from six, C-level big data executives

• 11+ New Case Studies: Gain more insights with more case studies than ever before

15 Industries Represented25+ Big Data Leaders

Event in Numbers

New This Year

4 Exclusive panel discussions

8 Hours of Networking

3 in-depth workshops

11 Case Studies

6 C-level Executives

Register today by calling 1 866 298 9343 x 200

Who You Will Meet!

Join the Data Analytics & Big Data Forum – Canada LinkedIn group and share your views with other members in our growing group.

Past Attendees Include:

Start the Conversation Before the Summit!

Register Today

Join the conversation before the summit. Follow us on Twitter @BigDataSummitCA #BDA2018

Exploit AI/machine learning: Take advantage of emerging trendsImprove customer experience: apply data to make your organization customer-centricReduce costs: Create efficiencies with dataGain support: Build organizational support for analyticsExplore new technologies: Leverage blockchain and other data technologiesMonetize big data: Turn data into profitsImprove decision making: Put data in the hands of executives

Take Away 7 Strategies For Optimizing Big Data

Get all the updates you need on Big Data and Analytics.

Save your spot now for Canada’s largest gathering of big data and analytics professionals.

Phone: 1-866-298-9343 x200

E-mail: [email protected]

www.BigDataSummitCanada.com

Alcohol and Gaming Commission of Ontario (AGCO) • Aviva • Burman Energy • Cablevision • Canada Post Corporation • Canadian Automobile Association • Canadian Imperial Bank of Commerce • Capgemini North America • CIBC • CIPS Ontario • Cloudera • Corporate Solutions and Services • Cushman & Wakefield Ltd. • Cyberdyne Systems • Daffron Canada • Gilt Groupe • IBM • Institute of Global Research• Just Energy • L’Oreal Canada • L’Equipe L’Oreal • Lakeside Process Controls Ltd • LoyaltyOne • Managed Analytic Services Inc. • Mane-frame Systems • MaRS • McGraw-Hill Education • Mozilla Corporation • New York University, Leonard N. Stern School of Business • Newtopia Inc. • NICE Systems Canada • North Waterloo Farmers Mutual • Northbridge Insurance Corporation • Numeris • OLG • Ontario Teachers’ Pension Plan • Sparksheet • Sripathi Solutions Corp • Sunlife Financial • Tangerine • TC Media • TD Bank • Teradata • The Center For Financial Industry Information Systems • The Nielsen Company • The Travel Corporation • Ticoon Technology • Toronto Public Library • TransUnion • Yellow Pages

Private Sector

CDO | CIO | CMO| VP/Director/Manager: Data Science | Customer Analytics | Business Intelligence | Marketing Analytics | Digital Strategy | Advanced Analytics | Loyalty

• Stay up to date on big data developments & drive advancements within your business

• Learn how your competitors are leveraging data to maintain their advantage in the market

Public Sector

Policy Advisor | Project Manager | CDO | CIO | Director/Manager: Data Science | Big Data | Enterprise Architecture | Data Analytics

• Grasp the current analytics landscape and identify opportunities for your organization

• Replicate big data strategies and insights from the private sector

• Build a data-driven organizational culture using agile methods

Technology Providers & Consultants

Managing Director/VP/Director: Marketing | Strategy | Sales | Business Development

• Benefit from industry growth and build relationships with prospective clients

• Understand the challenges facing the market and deliver on their expectations

• Demonstrate your leadership as a trusted solution provider

Register online at www.BigDataSummitCanada.com

8:45 AM Keynote: Royal Caribbean International

Using AI to Personalize your Customers' Experiences

Artificial intelligence isn't just a buzzword, it's a reality and it has the ability to drive real business results. Hear how AI can improve your customers' experiences. Create a plan to:

• Create a data-centric organization• Customize your offerings • Personalize your customers’ experiences

Leverage your data using AI to improve the experiences of your customers.

Sol Rashidi, Chief Data & Cognitive Officer, Royal Caribbean International

7:30 AM Registration and Breakfast

8:30 AM Opening Comments from the Chair

Bala Gopalakrishnan, Managing Director, Data Solutions, The Weather Network

10:30 AM Morning Break

9:30 AM Case Study: Cirque du Soleil

Leverage Customer Analytics and Consumer Insights to Develop a Customer-centric Organization

Most companies are sitting on mountains of data, but that data needs to be transformed into meaningful insights. Leverage your data to create a customer-centric organization. Develop a strategy to:

• Leverage customer analytics• Harness consumer insights• Drive business value with data

Better serve your customers by converting data into actionable insights.

Axel Bedikyan, Director of Business Analytics and Consumer Insights, Cirque du Soleil

10:00 AM Industry Expert

Employing Machine Learning to Identify Hidden Risks and Opportunities

Machine learning applies algorithms that learn as they process data. Use this technology to uncover hidden insights that your systems have not been expressly programmed to find. Create a plan to:

• Mine data to identify investment opportunities and risks• Analyze data to create personalized shopping experiences• Identify patterns to reveal efficiencies in business processes

Reveal hidden insights in your data with the power of machine learning.

Benefits of staying at the hotel include…Networking: Onsite social activities for conference attendees and speakers

Upscale Services and Amenities: Exceptional on-site dining, pool, and fitness centre

Dining Experience: Trios Bistro, offers classic Canadian fare with a contemporary twist.

Accommodations: Hotel rooms and suites feature deluxe bedding, high-speed Wi-Fi, and an ergonomic work area.

Convenience: The Marriott Toronto Downtown Eaton Centre is conveniently located at 525 Bay Street, Toronto. Save travel time and money. Book by Monday, January 15th to take advantage of our conference rate of $195.00/night.

Mention “Big Data by Strategy Institute” when making your reservation—1-800-228-9290.

Your Conference Venue!Toronto Marriott Downtown Eaton Centre HotelThe Marriott Toronto Downtown Eaton Centre’s prime

location in the heart of downtown Toronto's business district allows for easy access to many

corporate headquarters and to famous attractions like the CN Tower, Eaton Centre, and the Hockey Hall of Fame. Book your trip to the Toronto Marriott Downtown Eaton Centre Hotel to discover the ultimate in contemporary lodging.

SPECIAL GUEST RATES:

Reserve your Room Today! Phone: 1-800-228-9290

Wednesday February 7, 2018DA� ONE


11:00 AM Case Study: Shoppers Drug Mart

Predictive vs. Prescriptive Analytics: Choosing the Right Tools to Drive Results

Predictive analytics allow you to identify and exploit opportunities, while prescriptive analytics takes it to the next level: Using these analytical tools can help you make better business decisions. Source insights to:

• Apply decision analysis and optimization, transactional profiling, and predictive modeling

• Employ prescriptive analytics• Select the right analytics to achieve your goals

Leverage analytics to make better business decisions.

Pramod Dogra, Senior Manager, Advanced Analytics, Shoppers Drug Mart

12:00 PM Industry Expert

Take the Plunge Into Data Lakes for Faster and More Robust Analysis

• Integrate existing data into data lakes• Improve the accessibility of data without the structural

limitations of warehouses• Address business needs in a timely manner

Analyze your data quickly with data lakes.

11:00 AM Case Study: DLA Piper

Gain a Legal Perspective on Big Data

Businesses are eager to take advantage of big data, but the legal implications are unclear to many. Understand how your organization can take advantage of big data while complying with laws and regulations. Gain insights on:

• The current legal and regulatory framework to be applied • Maintaining privacy and security • Moving forward with Big Data projects while managing risks

Source insights on how Canadian law treats your use of big data.

Kelly Friedman, Partner, DLA Piper

Choose Your Track

Technical Business Use

Join this track for a technical discussion of big data and analytics.


Assessing the ROI of Big Data to Demonstrate Value and Gain Support

• Identify the real costs of analytics programs • Discover and assess KPIs • Demonstrate the monetization of big data

Develop organizational support for your bigdata program.

Join this track for strategy discussions and business considerations.

1:30 PM Panel

Handling Disparate Data to Make Better Business DecisionsMost organizations deal with internal and external data from a variety of sources. Overcome these challenges to make the most of your data. Gain insights on how to:

• Make use of data from various sources• Integrate unlike data• Handle redundant data

Use heterogeneous data to better inform business decisions.

Kathryn Todd, Vice President, Research, Innovation & Analytics, Alberta Health Services

Houtsin Diep, Manager, Digital Analytics (Lead), McDonald's Canada

Pankaj Arora, VP Business Planning, Analytics and Performance Enablement, TD Bank Group

1:30 PM Panel

Communicating Data and Analytics to Inform the Larger Business

Data and analytics can provide essential insights to the wider business, but only if they are understood. Better communicate your data to support business decisions. Develop a plan to:

• Convey data and analytics to stakeholders who lack an analytics background

• Employ visualization and storytelling• Help other departments to better understand data

Inform the wider business about data and analytics to provide actionable insights.

Sylvie Makhzoum, Vice President Data, Analytics & Insights, TD Insurance

Christopher Brockbank, CMO, FIRMA Foreign Exchange Services

Matthew Andaloro, Senior Manager, Revenue Performance and Analytics, Infrastructure Ontario



Securing Big Data to Avoid Breaches

As the size of the data you store increases, so does the potential damage of a breach. Develop a strategy to keep your data out of the hands of cyber attackers. Source best practices to:

• Develop a secure infrastructure to house data• Monitor employee account access to prevent

internal breaches• Secure applications and hardware to minimize vulnerabilities

Keep your data out of the hands of cyber attackers with appropriate security measures.


Employing Predictive Maintenance With Big Data to Avoid Costly Downtime

As we enter the “Internet of Things” era, the increased availability of data allows you to perform maintenance proactively. Go back to the office with strategies to:

• Integrate IoT data sources to improve maintenance decisions• Monitor equipment and facilities in real-time to

anticipate maintenance needs• Establish a maintenance policy based on data

Reduce your unnecessary downtime with predictive maintenance.

3:30 PM Case Study: Brightpeak Financial

How Big Data and Behavioural Science Shape the Future of Marketing

Spending and saving is a rich area of exploration for big data studies. What’s missing is an exploration of people’s attitudes about spending and saving, as well as their behaviours leading up to those actions. In this session, source insights on:

• The importance of converging motivation, ability and triggers to change behaviours

• Examples on how behavioural change is needed to drive outcomes

• Real case studies on what has worked and what hasn’t

Source a strategy to leverage big data and behavioural science to drive business results.

Mike Milkovich, Chief Technology Officer, brightpeak financial

Cami Zimmer, Head of corporate Communications, brighteak financial

Mike Milkovich Chief Technology Officer Mike Milkovich is an experienced technology executive with over 25 years of experience developing and leading strategic digital initiatives for technology companies. He has extensive experience providing technology direction to support and extend corporate objectives. As Chief Technology Officer for brightpeak financial, he is responsible for leading the company’s technical vision, providing leadership on technological developments and delivering innovative strategies to build out the technology offerings that strengthen relationships with brightpeak financial customers. Mike comes to brightpeak financial after serving as Enterprise Architect for Ameriprise Financial. Previously, he was the Chief Architect at RedBrick Health, where he successfully led the development of influential products and solutions utilizing innovative technical implementation to create long-term behavior wellness change for consumers. His experience includes key executive roles at Thomson, Zanby, Warecorp, Connect, Hewlett Packard and Firepond. Mike has a degree in Engineering from the University of Minnesota. He also attended Cornell University. About brightpeak financial brightpeak financial is a fast-growing, mission-driven digital financial services company offering customized, behavior-based financial guidance through unique solutions that help people live confident, generous lives. The company equips and empowers people nationwide to grow in relationship with each other as they tackle one of the leading causes of relational discord: financial insecurity. To accomplish this bold mission, brightpeak financial offers digital access to products including marriage relationship courses, personal money management apps, savings accounts, term life insurance, disability income insurance and retirement plans. brightpeak financial is a division of Thrivent Financial, a not-for-profit membership organization of Christians founded more than a century ago, and headquartered in Minneapolis, MN. For the past two consecutive years, brightpeak has been recognized by Minnesota Business Magazine as one of 100 Best Companies to Work for. Learn more at www.brightpeakfinancial.com and www.LoveAndMoney.com.


3:00 PM Afternoon Break

12:30 PM Networking Lunch

Plenary Sessions Continue

Amazing insights to solving real world problems with cutting edge technology and business process evolution.”- Brent Uemura, Manager, Data Management & Analytics, TD Bank

4:00 PM Industry ExpertUsing Self-service Analytics to Improve Business Leader Decision-making

Guided, self-service analytics tools put the power of analytics in the hands of business leaders – not just the data scientists. Identify the tools you need to put the power of analytics in the hands of key decision-makers. Develop a plan to:

• Empower users with agile and intuitive platforms• Create a simplified and personalized approach to analytics • Create a scalable IT solution to meet business demands

Maximize your ability to leverage data with self-service analytics.


8:00 AM Registration and Breakfast

8:30 AM Opening Comments from the Chair

Bala Gopalakrishnan, Managing Director, Data Solutions, The Weather Network

8:45 AM Keynote: XE.com

Leveraging Real-time Events in Customer-centrification and Predictive Analytics

The drive towards customer-centrification dictates the need for a technological environment that enhances customer relationships. Create a strategy to:

• Collect and assess real-time data• Couple real-time data with historic customer interactions• Personalize the marketing experience

Create a customer-centric organization using predictive analytics.

Cecilia Tamez, Chief Strategy Officer, XE.com

Jean Louis Verboomen, Director, Data Science, XE.com

9:15 AM Industry Expert

Use Data Visualization to Better Communicate Information

• Transform data sets into easily graphics• Use visualization to tell the story of data• Uncover insights not apparent in text format

Improve the way you communicate data through visualization.

5:15 PM Conference Adjourns to Day Two

9:45 AM PanelDevelop Cross-department Support to Enable your Big Data Projects

The effectiveness of a big data project depends on the support of the organization as a whole. Walk away with a plan to:

• Involve diverse programs in your data program• Get senior management on board with big data• Gain the support of front line workers for data and analytics

Ensure that your programs are supported.

Andrew Brown, Sr. Director, AI and Advanced Analytics Research, CIBC

Gayle Ramsay, Vice President, Customer Analytics, BMO Financial Group

Selwyn Collaço, Chief Data Officer, TMX Group

10:30 AM Morning Break

4:30 PM Panel Identifying New Trends and Opportunities to Monetize Big Data

Big data is a fast-moving field with constant innovations and new opportunities. Stay on top of the latest trends to help your organization monetize big data. Gain insights to:• Explore new and emerging trends• Understand the future potential of big data• Monetize your data

Turn your data into profits be exploring the latest trends in the field.

Dean McKeown, Associate Director, Administration, Scotiabank Centre for Customer Analytics, Queen's University

Vicky Marsolais, Director, Data and Analytics, National Programs and Strategies, CAA (Canadian Automobile Association)

Christian Rodericks, Director Analytics & Architecture, Cara Operations

DA� TWO Thursday February 8, 2018

5:20 PM

Executive Evening Reception

Don't miss this exclusive end-of-day gathering with conference speakers and attendees! Unwind, mingle and build relationships that will benefits you in the years to come. Bring your business cards.


Choose your track

11:00 AM Interactive: Problem Solving Forum

Overcoming Common Issues When Implementing a Big Data Program

Implementing a big data program in a technically challenging undertaking. Identify common problems and work with your peers to develop solutions based on your collective experience. Work together to develop best practices for the technical side of big data programs. Source strategies to:

• Transition from legacy systems• Manage privacy and security• Implement data lakes

Gather technical insights from big data leaders.

Bala Gopalakrishnan, Managing Director, Data Solutions, The weather Network

11:00 AM Interactive: Problem Solving Forum

Breaking Down Silos to Create an Effective and Efficient Data Program

An effective big data program requires collaboration across business units. But unfortunately, many organizations are dealing with silos in which knowledge is not shared across units. Gain insights from your peers as you work collaboratively to identify the causes of silos and source best practices for breaking them down. Develop a plan to:

• Identify causes of silos• Improve communication• Enhance interdepartmental collaboration

Make the most of your data with improved data sharing and collaboration.

11:30 AM Case Study: Global Furniture Group

Smoothly Navigate your Path to Bring Business Intelligence to your Organization

Moving a company into Data Analytics is a monumental task. Reduce your anxiety as you with insights from someone who’s been down this bumpy road. Discover practical tips to:

• Smoothly navigate your path to bringing business intelligence to your organization

• Enhance team building to support your vision • Distil the promises to help make your software decisions

Take away a roadmap to help begin your journey to making informed business decisions.

Michael Morris, Director, Sales Analytics and Incentive Programmes, Global Furniture Group

11:30 AM Case Study: Scotiabank

Use Big Data Analysis to Mitigate your Risks

The forecasted regulations and competition pressures enforce banks to carefully comply with risk factors. Explore how you can employ machine learning and big data methods to extract risky components. Achieve a step-by-step action plan to:

• Integrate data from different departments into a single network representation

• Identify secondary relationships at various levels even in the absence of financial relationship

• Analyze the microstructure of the Cross-border Payment Network to identify the suspicious components having a potential for risky activities and illicit behaviour

Take away experienced insights to help you make the right de-risking and onboarding decisions.

Nima Safaei, Associate Director, Network Analytics, Scotiabank Global Banking and Markets



Monetize Big Data to Improve your Bottom LineThe true value of big data is found when it is applied to drive business improvements and increase revenues. Unleash the potential of big data to improve your profits. Source original strategies to:

• Optimize your sales and marketing strategy• Increase customer loyalty• Move from descriptive analytics towards prescriptive

revenue generation strategies

Convert your data into profitable business intelligence.


Develop a Scalable, Agile Framework to Support your Big Data Initiative

As you build your big data and analytics program, you must be prepared for your needs to change. Develop a program that can adapt as your program grows. Source a framework to:

• Start small and scale your program up • Anticipate your needs to prepare for the future• Be flexible and adaptable to ensure continued relevance

Improve your operations and business outcomes through an efficient, scalable and agile platform.

12:45 PM Networking Lunch


Plenary Sessions Continue

3:30 PM Afternoon Break


Create a Roadmap to Ensure Enterprise-wide Success of Big Data and Analytics

Implementing big data and analytics is a high-level strategic undertaking. Take an enterprise-wide approach as you develop a big data and analytics strategy. Walk away with a proven plan to:

• Establish your strategic vision• Gather business requirements and data analysis needs• Defining an information architecture

Develop your competitive advantage with a well thought-out big data roadmap.

2:30 PM Case Study: Maple Leaf Sports and Entertainment

Building your Analytics All-star Team

The analytics talent race is underway. Organizations globally are competing for top-tier analytics and data science talent, and acquiring the right people for your organization can seem impossible. Learn how MLSE has built their data analytics/science practice with a focus on:

• Recruiting, empowering, and unleashing talent• Creating a culture of experimentation and IP generation• Generating and measuring business value

Take away specific and practical solutions for navigating the analytics talent shortage.

Sean O'Brien, Director of Analytics & Research, Maple Leaf Sports and Entertainment

4:30 PM Case Study: Blockchain Association of Canada

Take Advantage of One of the Biggest Technological Revolutions

Blockchain – the technology behind bitcoin – is getting a lot of attention in the world of financial services, but it’s potential extends to virtually all industries. Explore what blockchain will mean for big data and your industry. Gain insights on:

• Potential use across industries• How big data and blockchain work together• Practical applications of this emerging technology

Develop a strategy to make blockchain work for your organization.

Kyle Kemper, Executive Director, Blockchain Association of Canada

4:00 PM Case Study: American Hospital Association

How to Introduce and Implement a Data Strategy to Improve Decision-making

Membership organizations have long relied on personal interactions for member engagement while employing consulting firms to perform advocacy analyses. Optimize data and analytics to increase your member value and enhance your ability to influence policy-makers. Gain insights on how to:

• Harness the power of your own data• Create unique user experiences in the digital arena• Make better, data-driven decisions

Take away expert perspectives to inform your own data strategy.

Gloria Kupferman, Chief Data Strategy Officer, American Hospital Association

5:00 PM Conference Adjourns

It has been a fantastic learning experience for a new entrant such as myself to the big data world.- Deepa Muthukrishnan, Scotiabank

3:00 PM Case Study: Enterprise Saint John

Harnessing the Power of Data to Drive Economic growth

Many small businesses and organizations struggle to access the resources, knowledge, and infrastructure to capture, collect and analyze data in meaningful ways. Small communities may be in a better position to collaborate to fill these gaps in ways they don’t often realize.

• Engages businesses and organizations of all sizes • Builds partnerships with subject matter experts• Develops shared data assets and infrastructure• Drives innovation

You will discover how a small Canadian City is building on its industrial and innovative past by harnessing the power of data and partnerships.

Janet Scott, Director, Business and Community Development, Enterprise Saint John

Mirko Crevatin, Program Manager, Enterprise Saint John


Workshop A - 9:00 AM to 12:00 PM

Artificial Intelligence: Leverage the Power of AI to Create Efficiencies and Improve Returns

From enhancing business intelligence to chatting with customers, AI is already transforming the way organizations operate. Take advantage of the biggest technological revolution of our lifetime to improve your business. Create a plan to:

1. Grasp fundamental concepts like statistics, uncertainty and Bayes networks

2. Make the transition from analytics and big data to AI

3. Process and extract meaning from natural language

4. Create programs that process images and video

5. Build intelligent bots that can communicate with customers

6. Understand the basics of machine learning

7. Apply AI to real business cases

Do more with your resources using the power of AI.

Post Conference Master - class Workshops

Workshop B - 1:00 PM to 4:00 PM

Machine Learning: Process More Data, More Efficiently to Achieve a Competitive Advantage

Machine learning allows computers to learn without being explicitly programmed. This can allow your computers to work independently, processing more data than you ever could manually. Develop a plan to:

1. Apply linear and logistic regression to make predictions

2. Create models that generalize to new examples they have not seen

3. Apply neural networks for applications like recognizing speech

4. Optimize machine learning algorithms

5. Create support vector machines for supervised learning

6. Apply unsupervised learning to create models that help better understand data

7. Identify real-world applications to improve your busi-ness with machine learning

Apply machine learning to improve the way you process data.

Workshop C - 1:00 PM to 4:00 PM

Building an Advanced Analytics Team to Drive Results

An analytics program is only as good as the team that supports it. Ensure the success of your program by assembling a team of analysts, data scientists and others with the right skill sets and develop a strategic plan to achieve results. This workshop will address the following practical topics:

1. Understand corporative strategic directions and determine where data analytics should sit in your organization

2. Identify the skills your organization needs

3. Recruit, train and retain skilled data professionals

4. Establish strategic goals for your team

5. Improve collaboration & integration with businesses

6. Assess options in building COEs

7. Deliver results and create business value

Improve business results by assembling an advanced analytics team.

Dr. Eugene Wen, Vice President, Group Advanced Analytics, Manulife

Amazing insights to solving real world problems with cutting edge technology and business process evolution.”- Brent Uemura, Manager, Data Management & Analytics, TD Bank

friday, February 9, 2018


To learn more, contact Simon Wren at 416-944-9200 ext. 229 or email [email protected] *Limited exhibit space and sponsorship packages are available.

1. Meet data professionals from major brands like BMO, Cirque du Soleil, and MLSE.

2. Demonstrate your standing as a trusted big data and analytics advisor.

3. Target your intended audience in tracks for technical subjects vs. business use.

4. Be at the centre of the original Canadian big data event.

5. 8+ hours of interactive and networking sessions.

*Limited exhibit space and sponsorship packages are available.

Top 5 Reasons to Sponsor

EVENT SPONSORSHIP & EXHIBIT OPPORTUNITIESAT CANADA’S LARGEST BIG DATA AND ANALYTICS CONFERENCE!

2

3

4

5

67

8

9

10

1 SOLD

SOLD

SOLD

Who You Will Meet...

Thought Leadership Opportunity

Title Breakdown

Analytics - 25%

Data - 25%

Technology - 20%

Information - 20%

Marketing - 7%

Other - 3%

Connect with Big Data and Analytics Executives

Audience Breakdown

Information echnology - 42%

Data Science & Business Intelligence - 15%

Marketing - 12%

Business Strategy - 11%

Solutions Providers and Consultants - 8%

Human Resources – 6%

Indust Stakeholders - 6%

T

ry

Don’t miss this opportunity to be at the centre of the action!

• Find Answers to your Biggest Challenges!

Our audience of big data and analytics leaders are strategic thinkers and decision-makers - exactly who you want to engage with to build new leads and nurture existing ones. Make sure you are at the centre of the action, where important decisions on new investments are initiated.


www.BigdataSummitCanada.com

ATTENTION MAILROOM: If undeliverable to addressee, please forward to: CDO | CIO | CMO | VP/Director/Manager: Data Science | Customer Analytics | Business Intelligence | Marketing Analytics | Digital Strategy | Experience Analytics | Predictive Analytics | Advanced Analytics | Loyalty

Registration fee: Subject to 13% HST. The Regular investment includes luncheon, refreshments, networking breaks, continental breakfast, and original course materials. Payment is required in advance and can be made by company cheque, VISA, MasterCard, or American Express. Please make cheques payable to Strategy Institute Inc.

Early Bird special: Expires on November 10th & December 22nd, 2017. Cannot be used with group discount.

Group Discount: A Group Discount is offered for this conference (not in combination with any other offer). To be eligible for the Group Discount, delegates MUST register at the same time. The total discount per delegate (including applicable group discounts, etc.) MUST not exceed 25% of the regular conference costs.

Cancellations: Cancellations must be received in writing by Wednesday January 24th, 2018. Cancellations received by this date will be eligible for a prompt refund less a $495.00 (plus HST) administration fee. If you register for the program and do not attend, you are liable for the full registration fee unless you cancel according to the terms stated above. If you are unable to attend, delegate substitution is permitted up to, and including, the day of the conference.

Admission Policy: Strategy Institute reserves the right to restrict entry to the conference to any individual. Any such person requested to leave the conference site shall do so immediately upon request, whether previously issued a badge permitting entry. There is no refund payable with respect to anyone refused entry. Any information obtained at the conference cannot be relied upon for any particular set of circumstances, cannot be taken as professional advice or opinion. Attendees must consult with the appropriate professional before acting in response to information obtained at the conference.

Evening Social Activities: Please drink responsibly. Strategy Institute shall not be liable for any consequential damages and/or personal injuries caused by excessive or irresponsible alcohol consumption.

4 EASY WAYS TO REGISTER

Tel: 1-866-298-9343 ext. 200 Email: [email protected] Web: www.BigDataSummitCanada.com Mail: Strategy Institute, 401 Richmond St, West Suite 401 Toronto, Ontario M5V 3A8

Conference only

Conference + 1 Workshop

Conference + 2 Workshops

Workshop Only $495 EACH

$1,895 $2,795

$2,290 $3,190

$2,485 $3,385

Regular Investment Vendors, Consultants

SAVE $200Register by November 10th

SAVE $100Register by December 22nd

GROUP BOOKINGS: RECEIVE 25% DISCOUNT. REGISTER FOUR DELEGATES AND EACH PERSON WILL RECEIVE A 25% DISCOUNT

CONFERENCE CODE: 118017

February 7 - 8, 2018 • Marriott Eaton Centre, TorontoAcquire Critical

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Canada’s Must-attend

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