Meet our Chief Data Scientist @ Corinium

Chief Data & Analytics Officer, Canada

(Toronto, May 16-17, 2017)

As he speaks on

“Designing Team Operation Models”

(2.15pm- 3.00pm, May 16, 2017, Discussion Group 1A)

Why Attend

An unmatched opportunity to network and gain sharp insights from analytics industry experts on the latest path breaking technologies such as Big Data, Artificial Intelligence, Machine Learning, IoT, Data Governance and more...

100+

Chief Data Officers & Chief Analytics officers to network with

25+

Industry Experts as Speakers

100+

Attendees from all across the globe

68+

C-level executives out of the total attendees

Key note Speakers

Corinium offers you a golden chance to join a discussion room packed with C-suite executives from the data analytics and digital space. The dedicated discussion groups will be focused on the core issues wherein every attendee has a chance to contribute to the discussion.

The Agenda

Get insights from Chief Data Officers & Chief Analytics Officers of prominent organizations in the analytics landscape. Learn about the impact of IoT, Machine learning and AI in driving innovation. Get introduced to the challenges in data governance along with their solutions and much more…

  • Transforming business through journey analytics
  • Moving organizations towards analytical capability
  • Continuing to prove value as a CDAO
  • Designing team operating models
  • Delivering on the data and analytics
  • Creating an architecture for analytics
  • Think big, prototype small, scale fast
  • Liberating your data!
  • Putting data and analytics into the hands of the internal consumer
  • How to Advocate on behalf of your data
  • Getting the building blocks right
  • Balancing Data Governance and Innovation
  • Diversity in Data and Analytics
  • Creating equal opportunities within Data and Analytics
  • Moving from skateboard speed to car speed
  • focusing on benefits first through analytics
  • Fostering a data-driven culture and driving internal engagement for success
  • Making data talk
  • Converting complexity into simplicity
  • Operationalizing analytics – Essential elements for a successful analytical environment
  • Navigating the fragmented and fast paced vendor landscape
  • Assessing the impact and opportunities presented through new data sources
  • To Cloud or not to Cloud? – When to do it, how, why and how to Secure it
  • Deep Learning for business leaders
  • Futureproofing your data – How to create a sustainable data strategy which will continue to deliver value for years to come
  • Business collaboration and IT
  • Analytics with Purpose: creating a data analytics environment with resilience and designing frameworks for collaboration while acknowledging privacy
  • Attracting customers and keeping them happy
  • advanced analytics as your competitive edge
+ Day 01
  • Transforming business through journey analytics
  • Moving organizations towards analytical capability
  • Continuing to prove value as a CDAO
  • Designing team operating models
  • Delivering on the data and analytics
  • Creating an architecture for analytics
  • Think big, prototype small, scale fast
  • Liberating your data!
  • Putting data and analytics into the hands of the internal consumer
  • How to Advocate on behalf of your data
  • Getting the building blocks right
  • Balancing Data Governance and Innovation
+ Day 02
  • Diversity in Data and Analytics
  • Creating equal opportunities within Data and Analytics
  • Moving from skateboard speed to car speed
  • focusing on benefits first through analytics
  • Fostering a data-driven culture and driving internal engagement for success
  • Making data talk
  • Converting complexity into simplicity
  • Operationalizing analytics – Essential elements for a successful analytical environment
  • Navigating the fragmented and fast paced vendor landscape
  • Assessing the impact and opportunities presented through new data sources
  • To Cloud or not to Cloud? – When to do it, how, why and how to Secure it
  • Deep Learning for business leaders
  • Futureproofing your data – How to create a sustainable data strategy which will continue to deliver value for years to come
  • Business collaboration and IT
  • Analytics with Purpose: creating a data analytics environment with resilience and designing frameworks for collaboration while acknowledging privacy
  • Attracting customers and keeping them happy
  • advanced analytics as your competitive edge

R Systems Analytics

R Systems Analytics helps clients uncover actionable insights to drive competitive advantage and capture business value. We help organizations integrate and operationalize data analytics solutions, enabling them to gain visibility into previously opaque or hard to measure processes. This empowers our clients to make smarter business decisions.

Our team of data analysts/ experts, consultants and data scientists leverage proven analytics methodologies, best practices and tools to define the right analytics solutions for you, that solve complex business challenges and drive future growth.

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