Toronto, ON

Tuesday February 13th &
Wednesday February 14th 2018

Agenda

February 13, 2017
  • 7:15 AM
    Registration and Breakfast
  • 8:00 AM
    Opening Comments from the Chair
    Bala Gopalakrishnan
    Managing Director, Data Solutions, Pelmorex
  • 8:15 AM
    Case Study:
    Data as a Weapon of Mass Construction
    David Lennie
    SVP of Data and Analytics, Shopify

    For decades, data & analytics has existed within many companies as an endpoint — a cost-center to be reduced. The best companies know better — positioning their data and analytics teams at the center of their products as an asset in which they invest. Data isn’t an endpoint, it’s a jumping-off point. Design your data strategy to:

    • Drive product roadmaps
    • Use machine-learning to deliver powerful feedback loops that relentlessly improve your business
    • Solve business problems using analytics, versus searching for business problems to solve with analytics

    Put data at the heart of your business to drive your company’s product roadmap.

  • 8:45 AM
    Case Study: Essex Power Corporation
    Harness Big Data and Analytics to Create Strategic Insights
    Raymond Tracey
    President & CEO, Essex Power Corporation

    Sensor monitoring systems, like smart meters in utilities, have provided companies with an abundance of data. This data can help drive decisions or cause frustration. Unify your data to create actionable insights. Create a plan to:

    • Analyze real-time operations for decision-making
    • Tighten the value gap from asset to end user
    • Provide a seamless customer/stakeholder experience

    Transform your organization by gaining insights through analytics

  • 9:15 AM
    Industry Expert: IBM
    Data Made Simple and Accessible while Leveraging Open Source Analytics
    Reut Maimon
    Open Source Analytics Regional Leader, IBM Canada

    You know that data is vital to your success. But you also know that complex data—coming from diverse sources, collaborating with others across multiple functions, and generating new insights from data --- can be difficult. Join this session to learn how to:

    • Address those challenges and move closer to becoming a cognitive business
    • Enable data-driven professionals to work together in a simpler way to expand the use of data.
    • Harness the power and speed of innovation of the Open Source community to transform your business using technologies like Hadoop, Spark, NoSQL DBs etc.

    Source practical tips to bring this to life while watching a real live demo that will be included in this session.

  • 10:00 AM
    Morning Break
  • Technical
    Chair: Debora Bielecki
    Business Use
    Chair: Carol Clarke
    • 10:30 AM
      Panel:
      Gaining Organizational Support to Ensure the Success of Your Big Data Program
      Carol Clarke
      Vice President, Global CoE Digital Business Transformation, SAP
      Melissa Kittmer
      Director, Statistics Transformation, Office of Economic Policy, Ministry of Finance
      Tudor Morosan
      Director, Architecture and Technology Research, TMX Group
      John Wallis
      Director – Customer Experience Management & Big Data Analytics, Telus
      Bashir Fancy
      Chairman, Canada’s Association of Information Technology Professionals

      A successful big data program needs support across the organization, from front-line workers to senior management. Gain traction for big data by conveying the value to your stakeholders. Get insights on how to:

      • Create big data champions
      • Gain employee and management support
      • Demonstrate the ROI of big data initiatives

      Build support across your organization for big data programs.

    • 11:15 AM
      Industry Expert: Data Debt
      Assessing Your True Readiness and Ensuring Successful integration Into Your Overall Company Performance Management Strategy
      Ted Crouse
      Owner, LiteData Corp.

      Data debt is the primary challenge in measuring your company’s performance management. Big data and analytics is an excellent way to grow your business, but also your data debt. Learn how you can minimize or eliminate your existing data debt, take advantage of the big data and analytics revolution, and accelerate your company’s performance management to move your company to the next level. Your “Goodie Bag” will include instructions for:

      • Determining the composition of your data debt and reducing or eliminating the problem
      • Reduction of your vendor and product spend on big data and analytics (and other vendor initiatives) while maximizing your ROI
      • Bolstering your performance management strategy in line with your big data and analytics strategy to gain the necessary insights to drive your company forward

      Go back to your Organization with the necessary tools in hand to ensure that you’re doing what’s right for you.

  • 12:00 PM
    Networking Lunch
  • Technical
    Chair: Debora Bielecki
    • 1:00 PM
      Industry Expert: Environics Analytics
      Geography and Place: Navigating through Big Data
      Danny Heuman
      Senior Vice President, R&D, Environics Analytics

      Location plays a critical role in analyzing marketing data—from determining store sites and where customers live to monitoring how people move through a street network in order to improve marketing campaigns on the ground. This session will explore the role of geography as an aggregator and integrator of disparate data—customer, store, movement—to help you gain efficiencies and market more effectively. You’ll learn the importance of geography in your data, the role of big data as it relates to place and how to leverage customer data in exciting, new ways, such as the use of mobile phone geographic data to analyze trade areas.

    Business Use
    Chair: Carol Clarke
    • 1:00 PM
      Industry Expert: SWI
      Transform your Business by Unleashing your Organization Data
      Eyal Edelman
      Big Data Practice Lead, SWI

      Predictive Analytics has the greatest potential to transform your business, but many organizations face challenges that prevent them from realizing its full potential. Advance your organization Predictive Analytics by utilizing Big Data solutions to unleash your organization data and take full advantage of all the benefits of the Predictive Analytics era. Master the success factors to:

      • Building solutions that generating true value.
      • Getting the most out of your data
      • Successfully incorporating Big Data technology into your organization
  • 1:45 PM
    Room Change Break
  • 1:50 PM
    Case Study: City of Buffalo
    Drawing on Multiple Data Sources to Improve Service Delivery
    Oswaldo Mestre Jr.
    Chief Service Officer & Director of Citizen Services, City of Buffalo

    Municipalities have limited resources to deliver services to their citizens. Combine data from multiple sources to identify where best to use your resources. Acquire solutions to:

    • Derive intelligence from various data resources
    • Promote inter-department and inter-agency collaboration
    • Shorten decision cycles to make immediate community impact

    Deploy data analytics to hone your customer service.

  • 2:35 PM
    Afternoon Break
  • 3:00 PM
    Cast Study: ecobee
    Advancing the Data Science Maturity of Your Organization
    Sina Shahandeh
    Director of Data Science and Analytics, ecobee

    Organizations requiring analytics competency need to evaluate the maturity of their analytics efforts and to improve it. A data science maturing model is presented and during a case study we explore:

    • Assessment of an organization’s analytics competency
    • Choosing tools and processes for its advancement
    • Developing a right team and right communication strategy for dissemination of the results.

    Take away perspectives on data science maturity and examples to improve it.

  • 3:30 PM
    Industry Expert: SAS
    Analytics in the Big Data Landscape
    Steve Holder
    Strategy Lead, SAS Canada

    Big data is changing the way organizations store, capture and enable data. The addition of analytics to the big data landscape allows organizations to more effectively drive business insight and value from the data stored in data lakes or data hubs. In this session you will learn:

    • How clients integrate with Big Data to create an integrated analytic platform.
    • The role of machine learning to derive deep insight into your data.
    • How to enable the Internet of Things (IoT) to bring analytics to the edge.

    Extract business insights from your data.

  • 4:00 PM
    Panel:
    Exploring the Future of Big Data to Exploit Emerging Opportunities
    Joe Greenwood
    Program Director, Data Catalyst, MaRS Discovery District
    Carlos Medeiros
    Chief Risk Officer, Mogo
    Christopher Dingle
    Senior Director, Customer Intelligence, Rogers Communications
    Jean-Francois Plante
    Professor, HEC Montreal

    Big data is a fast-moving field. Stay on top of the latest trends and identify emerging opportunities for your organization. Gain insights on how to:

    • Manage new data sources in an IoT world
    • Benefit from machine learning and AI
    • Incorporate new technologies and methodologies

    Stay ahead of new big data trends to develop your competitive advantage.

  • 4:45 PM
    Industry Expert: Dell EMC
    Ingredients to a Successful Data Analytics Project
    Erin K. Banks
    Portfolio Marketing Director – Big Data and Analytics,, Dell EMC

    According to a recent study 44% of respondents aren’t sure how to approach big data. The fact is many like you are not alone with your concerns.Transform your business to ensure your data provides the greatest value to you. Adopt best business practices to:

    • Achieve insights from your analytics
    • Extract value out of our data
    • Drive business change

    Let Dell EMC simplify and provide the best capabilities for your Big Data journey.

  • 5:15 PM
    Conference Adjourns to Executive Evening Cocktail Reception

    Don’t miss this exclusive end-of-day gathering with conference speakers and attendees! Unwind, mingle and build relationships that will benefit you in the years to come.

February 13, 2017
February 14, 2017
  • 7:45 AM
    Registration and Breakfast
  • 8:15 AM
    Opening Comment from the Chair
    Bala Gopalakrishnan
    Managing Director, Data Solutions, Pelmorex
  • 8:30 AM
    Keynote:
    Driving Organizational Strategy with Journey Analytics
    Lori Bieda
    Vice President, Business Analytics and Insights, BMO

    The majority of analytics being used in today’s businesses are vertical “in-lane” analytics that serve specific business units and a functional purpose. Employ horizontal journey sciences to tap into the full power of your organization’s data and better understand the experience from a customer’s perspective. Empower your company to:

    • Isolate the journeys that detract from and improve the client experience resulting in proven uplifts to CSAT
    • Improve operational efficiency and revenues
    • Make analytics an enterprise capability

    Source tangible ways journey sciences have been employed to drive organizational value in organizations like yours.

  • 9:00 AM
    Industry Expert: IBM
    Transform your Organization into a Cognitive-Enabled Business
    Mark Persaud
    Advanced Analytics and Cognitive Computing, IBM Canada

    Numerous industries are experiencing multiple challenges such as declining return on equity, expanding regulatory requirements, demanding customer requirements, and growing non-traditional competition. Learn how leading organizations are starting to use Cognitive to redress these factors while harnessing the ever-expanding deluge of internal and external data:

    • Exploit maximum value from data by moving beyond the constraints of traditional algorithm-based analytics and peoples’ ability to process information;
    • Redefine the nature of work and unleash an entirely new range of business opportunities; and,
    • Scale and accelerate human expertise in new and powerful ways, making much better use of complex data, leveraging new insights to change behaviour and transform your organization

    Take away real world case studies and approaches to help start your cognitive journey

  • 9:30 AM
    Panel:
    Addressing the Skills Shortage to Build Your Big Data Team
    Darius Braziunas
    Director, Big Data, Rakuten Kobo Inc.
    Michael Spinks
    Chief Knowledge Officer, South East Local Health Integration
    Jesse Coleman
    Big Data Lead, City of Toronto
    Mahsa Hedayati
    Programme Officer (Analytics Lead), United Nations Department of Field Support

    A lack of data scientists and analytics professionals prevents organizations from realizing the full potential of big data. Develop a strategy to overcome this skills shortage and assemble your big data team. Create a plan to:

    • Anticipate the skills needed for your big data program
    • Source internal and external candidates to staff your big data team
    • Provide professional development to your employees

    Overcome the skills shortage to develop an effective big data team.

  • 10:15 AM
    Morning Break

    The program will divide into two specialized tracks. If you’re looking for technical information about big data systems, join the “Technical” track. For actionable strategies to drive business value, take in the “Business Use” track

  • 10:45 AM
    Industry Expert: SAP
    Use Advanced Data Science to Make the Decisions that Matter
    Carol Clarke
    Vice President, Global CoE Digital Business Transformation, SAP

    Across mobile, cloud, social media and sensors, businesses can wring value from massive amounts of structured and unstructured data. Simply collecting the data is not enough. In this talk, you’ll learn how to:

    • Use data science to make meaningful decisions
    • Create new revenue streams by monetizing big data
    • Find the most suitable technology for your situation

    Make data a central part of your business strategy

  • 11:15 AM
    Room Change Break
  • Technical
    Chair: Debora Bielecki
    • 11:20 AM
      Case Study: The Weather Network
      Developing IT Architecture to Process Complex Data and Deliver Meaningful Information
      Bala Gopalakrishnan
      Managing Director, Data Solutions, Pelmorex

      A big data and analytics program needs to be supported by technology. Create a strategic plan to develop your organization’s technical architecture. Create a plan to:

      • Architect complex systems
      • Explore pen-source and proprietary technologies
      • Develop algorithms to transform data into information

      Provide your big data program with the IT architecture needed to be effective.

    • 12:05 PM
      Industry Expert: Qlik
      Leverage Modern BI to Get Value Out of Your Data
      Abdullah Salim
      Solution Architect, Qlik

      Getting your data into a data lake is easy, but gaining insightful discoveries is difficult. Using modern BI on top of your data lake, you can accelerate these discoveries. Learn how you can arm not just your data scientists, but data experts and data analysts with the power to interactively analyze your data lake.

    Business Use
    Chair: Carol Clarke
    • 11:15 AM
      Case Study: Maple Leaf Sports and Entertainment
      Technology Is the Easy Part: Lessons Learned On the Journey to Become a Data-driven Company
      Jonathan Carrigan
      Senior Director of Strategy, Maple Leaf Sports & Entertainment (MLSE)

      Most organizations seek to unlock the promise of big data, yet few succeed because they underestimate what is required. Fast track your learning through the experience of one of the world’s leading sports and entertainment companies. Create a blueprint to:

      • Transform your business to a data-driven company
      • Develop a culture that embraces data
      • Learn from the experiences of industry leaders

      Discover how your organizations can apply lessons learned.

    • 12:05 PM
      Industry Expert: SAS
      Open Source & The Changing IT Landscape
      Steve Holder
      Strategy Lead, SAS Canada

      Since the inception of Hadoop, SAS has tightly integrated our development to allow organizations to maximize the value of their data in Hadoop through the use of analytics. With the ongoing adoption of Hadoop and other Open Source projects, it’s important for organizations to grow and innovate. In this session we’ll walk attendees through:

      • 5 common misbeliefs about open source
      • How Open Source and Hadoop are changing the modern technology landscape Where and how “enterprise” analytics can integrate with “open” analytics
      • How to enable the Internet of Things (IoT) to bring analytics to the edge.

      Gain insights on Open Source and Hadoop from the enterprise level

  • 12:50 PM
    Networking Lunch
  • 1:45 PM
    Industry Expert: Information Builders
    Exploring the Dynamics of a Data-Driven Organization
    Andy McCartney
    Director of BI/Analytics Product Marketing, Information Builders

    Is data driven business viable for everyone, and if so how? This session takes a look at the state of BI and analytics adoption, and how organizations could enable every stakeholder with data driven business. Data discovery and visual analytics have opened the door to some, but not everyone has the time or skills to explore data with tools. 70-80% of your business universe are currently left in the analytical cold - surely a missed opportunity? What is Big Data’s role? Can ‘Smart BI’, narrative, embedded, operational BI and automation increase adoption and the value of analytics? Let’s take a look!

  • 2:15 PM
    Case Study: Tridel
    Developing the Path to the Future Smart City for Improved Decision-making and Quality of Life
    Ted Maulucci
    CIO, Tridel

    The Internet of Things is connecting our homes, communities and cities – and, in doing so, is creating vast amounts of data. Explore real-world IoT in communities like yours and see how this evolution will translate into smart cities. Create a plan to:

    • Understand the components and business case that make IoT and smart buildings tick
    • Leverage the data created by smart communities
    • Realize current smart community technologies as a metaphor for the smart city

    Realize the potential of IoT, smart communities and smart cities to improve quality of life for your constituents and create new business opportunities.

  • 2:45 PM
    Industry Expert: TIBCO Software
    7 Algorithmic Enterprise Case Studies
    Mark Palmer
    SVP of Analytics Engineering, General Manager, TIBCO Software Inc.

    In the past 18 months, the use of machine learning, streaming analytics and Spark has grown dramatically in the enterprise. This session covers the architecture, technology, and impact of 7 use cases in public transportation, oil and gas exploration, loyalty and customer engagement in loyalty systems, high tech manufacturing, and real-time inventory control and logistics. We will explore the design and architecture behind streaming analytics of GPS and sensor data and predictive route optimization for a major public transportation system in depth

  • 3:15 PM
    Afternoon Break
  • 3:45 PM
    Case Study: McDonald's Canada
    Bringing your Customers’ Story to Life and Transforming Their Experience
    Houtsin Diep
    Manager, Digital Analytics (Lead), McDonald's Canada

    Customers today have an increasing number of ways to interact with businesses and have high expectations that business are in tune with how customers want to interact. Adapt to the new digital world by bringing their stories to life to create improved customer experiences. Adopt industry leading practices to:

    • Bring analytics to the front of the process
    • Evolve tracking of customer information
    • Use analytics to create an intimate understanding of your customers’ story

    Come join and learn how you can gain an unprecedented understanding of your customers.

  • 4:15 PM
    Case Study: Manulife
    Create a Big Brain for Big Data to Maximize Your ROI
    Igor Ikonnikov
    Director, Global Information Management Practice, Manulife Financial

    You have built your Big Data facility, but the data scientist is the only person who can work with it at the moment. Democratize your big data via organizational and technological improvements. Create a Big Brain for your Big Data to:

    • Facilitate understanding of your Big Data asset potential
    • Maximize its use across the whole organization
    • Build the foundation for a truly digitized analytics-driven enterprise

    Take away experienced perspectives to maximize return on your investment into the Big Data facility.

  • 4:45 PM
    Conference Adjourns
February 14, 2017
February 15, 2017
  • 9:00 AM - 12:00 PM
    Building an Advanced Analytics Team to Achieve Results
    Christina Hoy
    Vice President, Corporate Business Information & Analytics Division, Workplace Safety and Insurance Board (WSIB)

    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. Develop a strategic plan to:

    1. 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 with other departments

    Develop a plan to assemble your advanced analytics team.

  • 1:00 PM - 4:00 PM
    Planning Your Hadoop Transition to Minimize Interruptions
    Nitin Mathur
    Director, Big Data, Sun Life Financial

    Transitioning from a data warehouse to Hadoop opens up new opportunities for data processing, but the migration process is not without challenges. Anticipate these challenges and respond to them to minimize disruptions to your operations. Source expert insights on how to:

    1. Master the technical requirements of data migration
    2. Ensure that your employees have the right skills for a new system
    3. Gain organizational support for the transition
    4. Maintain continuity through the transition
    5. Exploit new opportunities with Hadoop

    Migrate your data to Hadoop while minimizing disruptions to your operations.

February 15, 2017

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