Leap Into the Big Data Age and Boost Your Productive ... · Leap Into the Big Data Age and Boost Your Productive Potential! ... lululemon athletica Gayle Ramsay, VP, Customer Analytics,

Wednesday, February 17th - Thursday, February 18th, 2016 • Sheraton Centre Toronto

Leap Into the Big Data Age and Boost Your Productive Potential!

www.bigdatasummitcanada.com

Christina Hoy,VP, Corporate Business Information and Analytics,Workplace Safety and Insurance Board

Dave Hewlett, Director, Business Intelligence,lululemon athletica

Gayle Ramsay,VP, Customer Analytics, Marketing & Strategy,BMO Financial Group

Ahmad Yaghoobi,Technical Fellow, Enterprise Architecture, Advanced Analytics & Visualization,Boeing

Corby Fine,VP, Customer Intelligence and Digital Sales Optimization,Rogers

Luke Stringer,Head of Research,Twitter Canada

Benefits

• Monetizing big data

• Leveraging the IoT

• Exploiting social media

• Driving loyalty

• Marketing in real-time

• Breaking silos

• Safeguarding privacy

Hear from these leaders:

Gold Sponsor:

Pre-conference Master Class Workshops

A: Text Mining 101: Basic

Tools for Big Data Novices

B: Embedding Security Into

Big Data Environments

Partner:

National

Event for Big Data

Practitioners

#1

Platinum Sponsor:

Speaker Organizations!

Coordonnatrice scientifique Lynda Robitaille BSc, MBA

Université Laval, Pavillon Pouliot, PLT-39471065, Avenue de la Médecine Québec (Québec) G1V 0A6

T 418-656-2131 ext: 7590C 418-561-2637

[email protected]

Scientific CoordinatorLynda Robitaille BSc, MBA

Université Laval, Pouliot building, PLT-39471065, avenue de la Médecine Québec (Québec) G1V 0A6

P 418-656-2131 ext: 7590C 418-561-2637

[email protected]

UNIVERSITÉ LAVAL BIG DATARESEARCH CENTER



T 418-656-2131 ext: 7590C 418-561-2637

[email protected]



P 418-656-2131 ext: 7590C 418-561-2637

[email protected]




T 418-656-2131 ext: 7590C 418-561-2637

[email protected]



P 418-656-2131 ext: 7590C 418-561-2637

[email protected]


Coordonnatrice scientifique

Coordonnatrice scientifique

Lynda Robitaille BSc, MBA


T 418-656-2131 ext: 7590C 418-561-2637

[email protected]

Scientific Coordinator

Scientific Coordinator

Lynda Robitaille BSc, MBA


P 418-656-2131 ext: 7590C 418-561-2637

[email protected]






Choose from concurrent sessions: Technical and Business Use

Explore new topics: Agile Analytics, Breaking Silos, Sentiment Analysis, Structuring Data, and more!

Partake in workshops on Text Mining and Data Security for more in-depth learning

New for2016

25+ elite speakers

6+ hours of networking

6 case studies

2 specialized tracks

Event in Numbers

Register today by calling 1 866 298 9343 x 200

An Invaluable Opportunity to Grow Your Organization’s Potential – Register Today!Don’t miss your chance to engage in timely discussion with big data innovators and leaders from across the continent. In an intimate setting, you will connect with senior executives to exchange best practices. You will walk away with actionable strategies to drive data-centred culture, enhance data governance and maximize return on your investment. Space is limited – register today by calling 1-866-298-9343 or emailing [email protected].

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

Who will you meet at this event

Past attendees include:

Get your opinions heard. Follow us on Twitter @BigDatasummitCA #BigDataCA

Structuring Data: Decipher and aggregate your unstructured data

Real-time Intelligence: Expedite insight extraction and decision-making

Breaking Silos: Bridge organizational barriers to your project’s success

Client Personalization: Cater to your clients’ unique interests and needs

Hadoop Adoption: Assess the benefits and opportunity costs

Social Media Analytics: Infer user sentiment and predict client behaviour

Privacy and Security: Stay compliant with new federal guidelines

Data Monetization: Maximize profits and demonstrate your project’s ROI

Customer Loyalty: Deploy data strategically and drive client engagement

Agile Analytics: Build a data-driven environment in progressive steps

The Time is Now: Instil a Data-centred Culture Within Your Organization

Canada Post Corporation • Canadian Automobile Association

• Healthcare of Ontario Pension Plan • Just Energy • L’Oreal

Canada • McGraw-Hill Education • Mozilla Corporation •

Tangerine • TD Bank • Nielsen • Yellow Pages • Alcohol and

Gaming Commission of Ontario • WSIB • North Waterloo

Farmers Mutual • Transunion • CIBC • Oracle • Shoppers Drug

Mart • Sunlife Financial • OLG • Meridian Credit Union • Ontario

Teachers Pension Plan • RBC • Aviva Canada • LoyaltyOne

Private Sector

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

• 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

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

• 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

DA� one Wednesday

February 17th, 2016

8:00 AM Registration and Continental Breakfast

8:45 AM Opening Comments from the Chair

Hashmat Rohian, AVP, Digital Innovation, Aviva Canada

11:00 AM Mid-morning Networking Break

9:00 AM Keynote Address

Reducing the Complexity of Big Data for Business Use

Despite efforts to capture and assemble data, companies are finding it difficult to get concrete value from it and to transform their business processes. Draw insights on:

• Demonstrating the need for a big data project • Meeting executive demand for results• Translating data into a practical marketing instrument

Enable more seamless big data value extraction.

Nicholas Yee, AVP, Information Management Practice, Global Technology Office, Manulife Financial

9:45 AM Case Study: Boeing

Leveraging Data Generated Through the Internet of Things to Maximize Business Efficiency

The advent of ubiquitous connectivity is leading to an exponential increase in data generation. Adopt the necessary warehouse and analytics technologies to make your data actionable. Draw insights into:

• Understanding the IoT as a key source of big data• Sorting incoming sensor data in real time• Harnessing the full potential of IoT-generated data

Develop the technological capacity you need to tap into the value of the Internet of Things.

Ahmad Yaghoobi, Technical Fellow, Enterprise Architecture, Advanced Analytics & Visualization, Boeing

Staying at the hotel has its benefits

Located in the heart of vibrant downtown Toronto, in the financial and entertainment districts, the CAA/AAA four diamonds Sheraton Centre Toronto enjoys an unparalleled location on Queen St. West, directly across from City Hall and Nathan Phillips Square.

Directly connected to the city’s famed underground “PATH” network, a veritable underground city, linking 16 miles of shops, services and offices most of Toronto’s favourite attractions are mere steps away.

Maximize your networking opportunities by staying at the same hotel as the conference!

Benefits of staying at the hotel include…Networking: Onsite social activities for conference attendees and speakers Upscale Amenities: Fitness centre, largest heated indoor/outdoor pool in downtown Toronto, spa salon and much moreLocation: Most of Toronto’s favourite attractions are just steps away.Accommodations: Luxurious guest rooms: each room offers the plush comfort of Sheraton Sweet Sleeper™ Bed.

Book your accommodations at the Sheraton Center Toronto by January 14th, 2016 for an exclusive rate of $199/night by mentioning “Big Data Summit by Strategy Institute”, when you call 1-888-627-7175

Sheraton Centre Toronto123 Queen Street WestToronto, OntarioM5H 2M9Canada

Direct: +1 (416) 361-1000Reservations: 1-888-627-7175

10:15 AM Industry Expert: Structuring Data

Combatting Unstructured Data to Facilitate Insight Extraction

Format your unstructured data in order to streamline your mining and analytics processes. Source best practices to:

• Identify new tools to help you structure your data• Define how the data should be organized• Accelerate conversion from unstructured to structured

Keep up with new solutions to one of the most pressing challenges facing big data practitioners.


11:30 AM Machine Learning

Employing Machine Learning Solutions to Solve Big Data Problems

This session will explore machine learning tools useful to big data practitioners in industries as diverse as malware detection, pharma and genomics. Gather machine learning techniques that can scale in the big data structure and identify opportunities for adoption within your organization. Source intelligence on:

• Assessing the difference between usual approaches that do not scale and those that can scale

• Determining what ML can do that an ordinary statistical approach cannot

• Extracting information from data that is not fully structured

Gain important insight on machine learning applications to your big data challenges.

François Laviolette, Director, Big Data Research Centre, Laval University (QC)

12:00 PM Real-time Decision-making

Leveraging Data to Better Understand User Behaviour and Drive Organizational Performance

Big data, enabled by technological innovations like cloud computing, mobile sensors, cheap data storage and real-time communication, has thrust mathematical optimization and decision-making into a new era. Explore emerging real-time decision-making challenges and opportunities facing big data researchers and practitioners like you. Gather insights on:

• Formulating and solving integrated models• Developing real-time and re-optimization algorithms• Using large-scale techniques and parallel computation

Refine your data analytics tools with current intelligence from cutting-edge research.

Andrea Lodi, Canada Excellence Research Chair in Data Science for Real-time Decision-making, École Polytechnique de Montréal

12:00 PM Real-time Intelligence

Using Big Data to Maximize Connections With Customers in Real Time

Financial institutions continue to leverage big data to cater to a diverse and demanding consumer base in an effort to meet the needs of their customers. Developing the strategic and technical tools and capabilities needed to respond quickly to customer needs is critical to your business. Source insights on:

• Delivering a consistent personalized experience• Improving customer interaction and building trust• Driving profitable growth

Enable true customer-centricity by analyzing and making data actionable in real-time.

Gayle Ramsay, VP, Customer Analytics, Marketing & Strategy, BMO Financial Group

11:30 AM Creating a Data-driven Business

Strengthening Decision-making Through Organized Use of Information

Since the emergence of big data, businesses have been challenged as to how to think about the role of information. Those that have treated it as a strategic asset rather than a tactical tool have come out ahead. Foster a data-driven culture across your business to improve its overall success. Develop guidance on:

• Using data strategically in alignment with your objectives• Rolling out a data-driven organizational structure• Growing your business through a continual focus on

the customer

Transform the way you approach information to solve business problems.

Jonathan Isernhagen, Director, Digital Analytics and Optimization, Kaplan

choose your track

Technical business use

12:30 PM Networking Luncheon


1:45 PM Case Study: Kobo

Using Big Data Intelligence to Optimize Product Design

Kobo uses a data-driven approach to generate intelligence for its eReading business. Using machine learning tools, Kobo gleans insights into how people read and uses those insights to create user-friendly products. Ground your product development on actionable data. Draw new insights on:

• Conducting behavioural analysis on your target audience• Aligning your product design with users’ mental

processes and dispositions• Employing new machine learning and technological tools

for data mining

Leverage big data to extract meaningful information about your consumers’ inclinations.

Inmar Givoni, VP, Big Data, Rakuten Kobo

2:15 PM Industry Expert: Hadoop

Setting the Technical Architecture for Your Big Data Analytics

Hadoop enables organizations to tackle their big data problems by storing, processing, and analyzing vast amounts of data. Although it is inexpensive, flexible, and highly scalable, some businesses face important challenges in deploying Hadoop. Assess the benefits of Hadoop adoption against the opportunity costs you will face. Develop guidance on:

• Mitigating the professional skills gap• Containing IT and operational costs associated with

Hadoop adoption• Recognizing the value of Hadoop in reliably storing and

managing complex data

Evaluate the suitability of Hadoop deployment for your big data and analytics needs.

2:15 PM Industry Expert: Executive Buy-in

Making the Business Case for Big Data Adoption

Big data presents an important opportunity but it must be deployed strategically. Demonstrate the potential of big data analytics to solve your most pressing business challenges in order to obtain executive buy-in. Source best practices to:

• Understand the nature of your data and the insights that can be drawn from it

• Show the expected return on your investment• Identify the human and material resources needed to

secure project success

Establish the benefits of big data deployment to maintain your company’s competitive advantage.

1:45 PM Case Study: SPC Card

Using Customer Data and Insights to Effectively Market to Millennial Shoppers

SPC Card, Canada’s most popular student loyalty program, uses data to create targeted marketing content. Better understand your audience and drive customer engagement. Leverage millennials’ online behaviour to impact their actions in offline retail settings. Develop guidance on:

• Revolutionizing the in-store experience from a student perspective

• Using mobile technology (freakin beacons) to drive customer personalization

• Integrating student perceptions of personal data collection into your marketing strategy

Leverage data to influence your target demographic.

Kevin Hisko, VP, Digital Innovation, SPC Card

plenary sessions continue


2:45 PM Mid-afternoon Networking Break

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


3:15 PM Social Media Analytics

Extracting Market Insights from Social Networking Platforms

With over 2 billion people on social media, massive amounts of data are becoming available for analysis. Platforms like Twitter present new ways of collecting intelligence about Canadians online. Recognize the potential of this data for your sales and marketing initiatives. Devise tools for:

• Mining user-generated content to assess behaviour trends• Structuring diverse types of data• Improving your potential to reach your target market

Generate valuable market intelligence from social media analytics.

Luke Stringer, Head of Research, Twitter Canada

4:15 PM Technology Showcase

Explore the Latest Big Data Processing and Analytics Tools

Hear directly from a range of vendors developing data architecture, cloud computing, business intelligence, and analytics software solutions for your big data challenges. Stay on top of recent technological innovations and assess opportunities for implementation within your organization.

3:45 PM Case Study: WSIB

Best Practices for Big Data System Implementation

Access to timely, accurate and comprehensive information is critical to WSIB’s commitment to a more responsive and financially sustainable compensation system for the province’s workers and employers. WSIB is leveraging technology innovations to replace its core transactional systems and transition into a data-driven environment. Adopting a data-centred approach, WSIB is:

• Increasing consistency and standardization in how information assets are managed

• Collecting new data elements that offer better insights into organizational effectiveness and performance outcomes

• Analyzing more transactional data on a timely basis to ensure more business agility

Enhance your predictive modelling capabilities to improve decision-making and financial sustainability.

Christina Hoy, VP, Corporate Business Information and Analytics, Workplace Safety and Insurance Board

4:45 PM Conference Adjourns to Day Two

5:00 PM Cocktail Reception and Networking

DA� TWo Thursday

February 18th, 2016

8:00 AM Registration and Continental Breakfast

8:30 AM Opening Comments from the Chair

Hashmat Rohian, AVP, Digital Innovation, Aviva Canada

10:30 AM Mid-morning Networking Break

8:45 AM Keynote Address

How to Rebuild a Car While Driving: Transforming Your BI Program

This session will work through the key pillars of a successful BI program touching on both business and technical considerations. Areas of discussion will include:

• Enrolling support for the vision and managing expectations• Building a high performing team and breaking down

organizational silos• Avoiding running over yourself while changing the tires

Improve your data and analytics culture and capabilities while continuing to support your business.

Dave Hewlett, Director, Business Intelligence, lululemon athletica

9:15 AM Panel: Breaking Silos

Fostering Cross-departmental Collaboration in Your Big Data Project

Big data is about all data, not partial data. As such, practitioners are increasingly realizing that their data means nothing if it is managed in silos. Develop guidance on:

• Forming interdisciplinary teams• Establishing regular communication between your

warehouse, analytics and marketing teams• Elucidating your business end-goal at every step

Initiate culture change to dispel siloed mentalities in your big data environment.

Chris Dingle, Director, Customer Intelligence, Rogers

Andrew Kope, Head of Data Analytics, Big Blue Bubble

Bashir Fancy, VP, Canadian Information Processing Society – Ontario Chapter

10:00 AM Industry Expert: Data Governance

Building the Cultural Foundation to Support Your Big Data Initiatives


Choose your track


11:00 AM Case Study: Orbitz

Developing a Disruptive Data-driven Technology Initiative

Orbitz recently rolled out an initiative to improve customer experience by personalizing content delivery on its web page and other channels. Hear about the challenges faced in the conception, internal selling, kickoff and evolution of this project. Gather intelligence on:

• Assessing the impact of a data-driven initiative on your business, products, and technology

• Evolving your company’s processes to meet the challenges associated with the delivery of such a project

• Optimizing the customer experience

Grapple with the complexities of a big data project with your business objectives in mind.

Wai Gen Yee, Chief Scientist,Orbitz Worldwide

11:30 AM Sentiment Analysis

Gleaning Customer Insights Through Opinion Mining

The plethora of social media tools have made an abundance of behavioural data available to businesses. Take advantage of natural language processing tools to decipher users’ opinions, emotions and attitudes. In this session, you will also witness a sentiment analysis demo. Draw insights on:

• Identifying the applications of sentiment analysis• Distinguishing between opinion, facts, parts of speech,

sarcasm, etc.• Classifying data for your business purposes

Employ advanced opinion mining techniques to better understand and segment your customers.

Sujoy Paul, Senior SQL Database Administrator, The Travel Corporation

11:30 AM Case Study: National Bank

Leveraging a 360° View of Your Customer to Sustain Long-term Engagement

Capturing the level of engagement and value of a customer has always been a topic of discussion amongst marketers and data scientists. NBC proposed to address this sempiternal question by creating an engagement metric called “My Bank Index.” Quantify and monitor client sentiment in order to strengthen the client relationship. Combine:

• Client intelligence• Your big data platform• Solid business acumen and communication

…to develop an evidence-based measure of customer engagement.

Michel Girard, Senior Director, Client Insights and Analytics, National Bank of Canada

11:00 AM Data Monetization

Translating Big Data Into Big Value for Your Business

Big data is great for insights and reporting but how can it be made actionable as well? Gather best practices on driving organizational culture change and bringing teams together to unleash the value of data. Optimize the sales and marketing potential locked in your data. Source original strategies to:

• Bridge silos and forge cross-departmental collaboration• Operate with your end-goal in mind• Move from descriptive analytics towards prescriptive

revenue generation strategies

Convert your data into profitable business intelligence and boost your bottom line.

Corby Fine, VP, Customer Intelligence and Digital Sales Optimization, Rogers

Very informative presentations, professional speakers with vast grasp on the subject matter.”- Catherine Ethier, Program Engineer, Burman Energy Consultants

Overall the conference has been quite informative and interesting/valuable to my work.”- Suela Dibra, Manager, Data Analytics, Northbridge Insurance Corporation



12:00 PM Industry Expert: Cloud Computing

Seizing the Opportunities of Big Data Storage, Processing and Distribution in Cloud

With its cost effectiveness, agility, and scalability benefits, cloud computing complements big data well. At the same time, there is little knowledge and expertise among aspiring data-centred organizations surrounding cloud solutions. Establish the advantages of a cloud approach against others to solve your data problems. Source insights on:

• Deploying big data analytics applications to the cloud• Improving privacy and security• Enabling real-time data processing

Enhance your operational efficiency through a big data cloud initiative.

12:00 PM Industry Expert: Visualization

Mapping and Communicating the Insights Locked in Big Data

Placing data in a visual context can help convey its message to your big data team and decision-makers alike. Implement a visualization platform that is adequate in the current technological age and that captures the complexity of your data. Adopt a visualization strategy that will enable you to:

• Organize your data to illustrate connections and an-swers to your business problems

• Make informed, evidence-based decisions• Develop the skill set needed to draw big insights from

big data

Identify and convey the concrete potential of data to solve your business problem.

plenary sessions continue

2:45 PM Mid-afternoon Networking Break

1:45 PM Keynote Address: Privacy

Assessing Legal Challenges Surrounding Data-driven Advertising in a Canadian Context

In April 2015, the Privacy Commissioner of Canada found that a telecommunication company’s targeted advertising program violated federal privacy law. This ruling underlined regulatory limitations on uses of client information by private sector organizations. Minimize your risk of future litigation by obtaining explicit client consent at the point of origin where the information is collected. Remain compliant by:

• Determining whether express consent is required by viewing the data in its context

• Establishing the source of your data and securing consent before aggregating it

• Ensuring that consent was obtained by any third party providing data

Embed privacy protection at the core of your data-driven business.

Abubakar Khan, Director (PIPEDA), Toronto Office Office of the Privacy Commissioner of Canada

2:15 PM Agile Analytics

Actualizing the Value of Big Data in Incremental Steps

A big data initiative can only succeed if it is grounded in a concrete business problem and is executed gradually. Many businesses may not have a big data problem to begin with, and those that do may have an unclear vision as to what they intend to accomplish with their data. Reassess and adapt your big data initiative according to what the data tells you. Take away strategies to:

• Identify the best analytics tools for the task at hand• Learn how to tackle the complexity of big data when you

do not know what questions to ask of it• Achieve a minimum viable product and prove the value

of analytics in the early stages of your project

Leverage agile methodologies to build on every stage of your big data project and enable continuous improvement.

Nitin Matur, Director, Hadoop Centre of Excellence, Scotiabank

The business use case of big data was made very clear.”- Vivek Menon, Senior Director, Head of Risk Reporting Technology, CIBC

12:30 PM Networking Luncheon


4:30 PM Conference Adjourns

3:15 PM Client Loyalty

Winning the Loyalty War in the Age of Big Data

Why focus on loyalty when a swipe is all it takes for a client to defect? Can we even measure loyalty? Fair questions. But loyalty matters, even more today. Astute strategies can enable organizations to translate loyalty into profits. Quantify loyalty and leverage the deluge of data available in the Big Data age in order to meet your business objectives. This session will cover:

• Techniques that enable fast analytics using big data, for the analytically inclined

• How effective use of data can help monetize loyalty, for the strategically inclined

• The need for a conceptual shift, the secret sauce no longer being data, but how we utilize it

Heighten your influence over client sentiment through strategic use of data.

Tarun Dhot, Director, Advanced Analytics, CIBC

Tuesday, February 16th, 2016,

Essential pre-conference workshops offer hands on training9:00 AM - 12:00 PMMASTeR CLASS WoRKSHoP A:Text Mining 101: Basic Tools for Big Data NovicesDescribed as the automated processing of text, text mining encompasses computer science, linguistics, and statistics. It can be used for both non-novel methods of information extraction from documents and novel methods of pattern identification. Its use cases include the fields of medicine, stylometry, web mining, e-commerce, and jurisprudence. In this workshop, attendees will learn the fundamentals of text mining. Using the programming language R, we will demonstrate how to:

1. Convert different file formats to text2. Define your corpus and how text is loaded into it3. Use transformation to clean the text4. Build a document term matrix5. Perform exploratory data analysis and develop Word

Cloud to identify frequently used words

Walk away with practical text mining techniques to extract value from unstructured data.

Sujoy Paul, Senior SQL Database Administrator, The Travel Corporation

1:00 PM – 4:00 PMMASTeR CLASS WoRKSHoP B:Embedding Security Into Big Data EnvironmentsTechnological advancement and expanded use of smart phones are creating significant opportunities for businesses. Disruptive technology operators are ever more capable of addressing the needs of their customers, cheaper, faster and better. An increasing need to stand out from the competition is driving businesses to harness maximal value from big data in order to better target their customers. The challenge arises when security is introduced into the mix. With the collection of big data, how can businesses understand the behaviour and needs of their customers while ensuring that their privacy is not compromised with this ease of use? After this interactive workshop, you will be able to:

1. Understand emerging security risks and evolve your organizational culture accordingly

2. Identify long-term solutions for safely handling massive amounts of data

3. Assess the impact of security breaches to your business from a legal standpoint

Overcome the security challenges within your big data environment with great results.

Bashir Fancy, VP, Canadian Information Processing Society – Ontario Chapter

3:45 PM Interactive Exercise

Tips and Tricks on How to Initiate a Big Data Project

Over the course of the summit, you will have recognized the challenges facing big data professionals and obstacles to implementation, but also ways to mitigate them. In this session, you will engage in conversation with speakers and fellow delegates to identify next steps for big data deployment in your organization.


Connect with world leading big data & analytics solution providers. Find answers to your biggest challenges

Don’t miss this opportunity to be at the centre of the actionTo learn more, contact Simon Wren at 1 866 298 9343 x 229or email Simon at [email protected]

1. The First Summit of its Kind in Canada This is the only Canadian summit focused exclusively on big data & analytics. Do not miss your opportunity to meet companies from a wide range of industries looking to become data-driven.

2. A Gathering of North America’s top Companies Meet data analytics professionals from major brands like lululemon, Boeing, and Scotiabank. Build brand awareness in a rare gathering of prospective clients.

3. Showcase Your Thought Leadership Demonstrate your standing as a trusted big data & analytics advisor. From hadoop deployment to visualization platforms, share your intelligence with a receptive audience.

4. Target Your Intended Audience Choose from concurrent sessions in one of our newly introduced tracks for technical subjects vs. business use. Stand out as an informed and established solution provider in your area of expertise.

5. 6+ Hours of Networking Engage in dialogue with leading North American businesses over networking breaks, lunch, and an evening cocktail reception. Forge new partnerships in an intimate environment.

Top 5 Reasons to Sponsor:

1

2

3

45

6

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8

Networking & Dialogue

Conference Room

Exhibitor Room

SOLD

Thought Leadership Opportunity


www.bigdatasummitcanada.com

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

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 October 30th & November 7th, 2015. 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 February 3rd, 2016. 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.

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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

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CoNFERENCE CoDE: 116017

February 17th - 18th, 2016 • Sheraton Centre Toronto

25+ elite speakers

6+ hours of networking

6 case studies

2 specialized tracks

Extract Insights & Bolster PROFITS

Optimize your business value NOW!

Documents

Leap Into the Big Data Age and Boost Your Productive ... · Leap Into the Big Data Age and Boost Your Productive Potential! ... lululemon athletica Gayle Ramsay, VP, Customer Analytics,