TOP 5 REASONS TO ATTEND

  1. Drive ROI and Create Efficiencies With Cross-industry Intelligence
    At the most diverse big data conference in Canada, you can learn proven strategies from top organizations in telecommunications, financial services, entertainment, retail, government, and more.
  2. Gain Specialized Technical and Business Insights from Custom Tracks with Actionable Information
    Concurrent sessions provide you with more specialized content. Choose from one of our tracks, for technical and business use, to get the information you need.
  3. Get All the Information You Need on Big Data, Analytics, AI and Machine Learning in One Spot
    As the first big data and analytics conference in Canada, this is the must-attend industry event covering everything you need to know about big data. Make sure you’re keeping up with emerging trends and developments!
  4. Source Winning Strategies from Elite North American Thought Leaders and Ensure your Big Data Program is Effective
    Emulate successful data analytics and monetization strategies from key big data players in both the US and Canada. Gather insights from technical experts and business executives alike.
  5. Source Solutions to your Biggest Analytics Problems Via Interactive Dialogue with Experts and your Peers
    Tap into the collective knowledge of our highly vetted conference speakers and your peers. Take advantage of dedicated Q&A time after every session as well as interactive exercises.

WHO YOU WILL MEET

Join 200+ thought leaders, experts and professionals from across North America at this unique event.

Private Sector

Banking
Insurance
Pharmaceuticals
Technology
Retail
Energy & Utilities
Consumer Products
Travel & Transportation
Oil & Gas
Telecommunications

Big Data – Analytics – Data Science

SVP / VP / Head / Director / Manager of Big Data
Chief Analytics Officers (CAO)
SVP / VP / Director / Manager of Analytics
SVP / VP / Director / Manager of Data Science

Marketing

Global Head / SVP / VP of Business Transformation
Head of CRM / CEM
VP / Director of:
Loyalty Program
Business Strategy
Market Research
Pricing Strategy
Customer Strategy & Management
Marketing Analytics
Marketing Optimization
Product Management

Information Technology

Chief Data Officer
Chief Information Officer
Chief Technology Officer
VP / Director of:
Engineering
Enterprise Data
Enterprise Architecture
Data Governance
Data Warehousing