Agenda

Day One: Thursday, October 1, 2020

10:10 EDT

60 min
Emily Tregunno Emily Kozinski

Data Literacy: Building the Case for an Enterprise Data Literacy Program

Emily Tregunno, Advisor, Data Governance, Data Governance Office, Canada Post

Emily Kozinski, Advisor, Data Governance, Data Governance Office, Canada Post

  • Defining Data Literacy – waiting through the pitches, the marketing material, and the academic studies
  • Framing an abstract concept into a practical program
  • Gaining interest and attention
  • Forming partnerships
  • Gaining momentum through routine

11:10 EDT

20 min

Break

11:30 EDT

60 min
Philippe Johnston

Developing Data Strategies: A Holistic Approach to Data

Philippe Johnston, Director General, Digital Services Directorate, Transport Canada

  • A look at Transport Canada’s approach to data governance
  • Developing data strategies and using holistic methods to assess the effectiveness of those strategies
  • Data Service Desks; developing and using tools to strengthen data governance initiatives
  • Improving the quality of data and establishing consistent verification standards

12:30 EDT

60 min

Break

14:30 EDT

60 min
Sherin V Emmanuel

Complying with Treasury Board Guidelines in Practice: The Other Side of the Data Management Coin

Sherin V Emmanuel, Enterprise Information Architect & Strategist | Information Management Division, Information and Data Directorate / Service, Innovation and Integration Branch, Canada Revenue Agency | Government of Canada

  • Initiating data management and data processes towards complying with the Treasury Board’s Guidelines on Data
  • Developing better ways of not only analyzing data, but data collection as well
  • Building data management and metadata frameworks
  • What are some other ways we can view data? How can we think outside the box to develop more effective data management and management processes?
  • Using data governance principles to tie everything together

15:30 EDT

15 min

Break

15:45 EDT

60 min
Sorana Ionescu

IESO’s Data Excellence Program

Sorana Ionescu, Director, Smart Metering, Independent Electricity System Operator

The electricity sector, the world’s biggest data machine, is at a technological tipping point, immersed in today’s complex systems, technologies and devices. Clear data strategies will help all sector players maintain their relevance in the face of the challenges and opportunities brought by the massive global digitalization movement, now even more accelerated by the pandemic pressures. To meet these unprecedented demands, the IESO has initiated a Data Excellence program focused on good data governance, a modern enterprise architecture and a sustainable operating model for the future. This presentation will inspire you to reflect on the following topics, and more:

  • Why is it important to prioritize data strategy programs in our organizations?
  • How to build and implement a data strategy roadmap for our organizations?
  • How to determine the optimum Data Governance framework and take the theory into practice with an effective implementation plan
  • Some “Do’s and Don’ts” …

Day Two: Friday, October 2, 2020

10:10 EDT

60 min
Wojciech Kujawa
Case Study

The City of Edmonton’s Data Governance Initiative

Wojciech Kujawa, Data Governance Manager, City of Edmonton

  • A case study on how the city of Edmonton is implementing its data governance framework
  • Implementing data governance at the municipal level
  • A review of the steps followed, lessons learned, and outlook for the future
  • Working around existing ad-hoc infrastructure to make it work for you
  • Developing a data governance team from the ground-up

11:10 EDT

20 min

Break

11:30 EDT

60 min
Matthew MacNeil

National Data Governance Standards and How Your Organization Can Use Them

Matthew MacNeil, Director of Standards and Technology, CIO Strategy Council

  • What is a National Data Governance Standard
  • Why Standards are important to your organization
  • Current published Data Governance Standards and those in Development
  • How a Standards can assist in design and deployment of a Data Governance Program
  • Making a Standard work for your organization

12:30 EDT

60 min

Break

13:30 EDT

60 min
Martin McGarry

Data Governance for the Consumer

Martin McGarry, Partner and Chief Data Scientist, Bronson Analytics

  • A focus on the main users of data: the end consumer
  • How can we change the way we view data governance to focus on those that need it most?
  • How data governance is viewed currently and difficulties that view can create
  • How can effective data governance make data easier to access and verify for consumers?

14:30 EDT

60 min
George Firican

3 Must-Have Artifacts for the Data Driven Organization

George Firican, Director, Data Governance & Business Intelligence, The University of British Columbia

This session will offer an overview of 3 important tools any organization should be using. In this webinar you will learn what a business glossary, a data dictionary, and a data catalog are, the benefits they bring, and what the relationship between all 3 is

  • What is a business glossary
  • Intro into data dictionaries and data catalogs
  • The benefits of all 3 artifacts
  • The relationship between them

15:30 EDT

15 min

Break

15:45 EDT

60 min
Mark Roboff

Data Governance for Safety Critical AI Development

Mark Roboff, General Manager, Digital Transformation, Aerospace & Defense, DXC Technology

  • Sharing data securely and with proper ownership control at an ecosystem level is critical. New technology enables this.
  • Complex AI systems will leverage this ecosystem data, and will require complex data management techniques.
  • For safety critical use-cases, solving for “data assurance” is critical. It is central to how we will verify and validate AI.
  • The top question in demonstrating “data assurance” is: how do we know the data you have is sufficiently representative of the environment you are trying to model?
  • Government’s role in safety certification based on a “data assurance” architecture is central for providing a means for society to trust AI.