Day One: Tuesday, September 21, 2021

10:45 EDT

60 min
Nandini Jolly

Addressing the Data Breach Crisis

Nandini Jolly, Founder & CEO, CryptoMill Cybersecurity Solutions

  • The global spread of COVID-19 has generated numerous privacy, data protection, security and compliance questions. These challenges are driving the need for companies and organizations to ensure their digital experience platform(s) are not only secure, but forward-looking
  • Your speaker will take you through the ins and outs of a zero trust data centric security model and approach, to implement safeguards to eliminate data breaches and create a balance between information sharing and protecting sensitive data from the edge to the Cloud with CryptoMill’s most advanced and disruptive security suite – Circles of Trust. She will also share a positive approach from the lens of the “good side” on how you can leverage technology and the art of encryption to stop hackers, protect sensitive data, preserve privacy, and effectively manage and protect your most valuable digital assets

11:45 EDT

60 min
Jennifer Bodnarchuk

Data Governance vs. Information Governance: What’s the Difference and Why Does it Matter?

Jennifer Bodnarchuk, Senior Data Scientist, City of Winnipeg

  • Data is information? Information is data?
  • Common concepts between DMBOK and IGBOK
  • Can data and information concepts be merged? Does that simplify or complicate?
  • As government services become more digital, how do we manage data/information?
  • The City of Winnipeg’s journey, so far, to an Information Governance Committee

12:45 EDT

45 min


14:30 EDT

60 min
Ivan Rincon

Spatial Data as a Tool for Economic Decisions in Government

Ivan Rincon, Director, Public Alerting, Emergency Management BC

  • What is spatial data and what are the best practices to make it useful
  • Best practices in spatial data governance
  • How spatial data can be used in government
  • Other correlated data to be included in decision making processes
  • Challenges and future of spatial data

15:30 EDT

60 min
Wojciech Kujawa
Case Study

The City of Edmonton’s Data Governance Initiative

Wojciech Kujawa, Data Governance and Management 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

Day Two: Wednesday, September 22, 2021

10:30 EDT

45 min
Dr. Vik Pant

Developing a Data Valuation Framework for Better Evidence-Based Decision-Making in Government

Dr. Vik Pant, Founder, Synthetic Intelligence Forum

  • Quantifying the value of investments in data and digital assets is complex and estimating return on investments as well as payback period on such investments remain difficult.
  • This talk aims to address how we can align departmental strategic priorities, performance indicators and investment in digital solutions.
  • A Data Valuation Framework can inform hvikow digital technologies (AI and automation) can be incorporated into the decision-making processes.
  • Dr. Pant will share insights in developing a framework for systematically assessing and analyzing the value of a dataset or a digital tool.
  • While advancing digital transformation is a key priority for Departments and Agencies across the Government of Canada, decision-makers are facing the challenge of prioritizing and justifying investments in digital technologies.

12:00 EDT

45 min


12:45 EDT

45 min
Emily Tregunno Emily Kozinski

Data Literacy, 18 months in

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

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

At Canada Post we have focused on building a Data Literacy program over the course of the last 18 months. In this presentation we will share the framework of our program and what our learnings are to date with two specific initiatives that are being driven from this program: The Data Literacy Lecture Series, and the Data Academy. The program is designed to support users to build awareness, skills, and connections in support of how to read, manipulate, produce, and communicate with data. At the 18 month point we are able to critically evaluate the direction for the program moving forward and how to best ground the concepts in our business culture so that we can continually move beyond the buzz of data and as a corporation are able to better manage, consume, and produce data.

14:15 EDT

60 min
Francis Loughheed

Data Driven Impact: Leveraging Data to Tell Compelling Performance Stories

Francis Loughheed, Senior Policy Advisor Performance Measurement and Data Analytics, Natural Resources Canada

  • lessons learned and best practices to integrate data with performance measurement requirements
  • results-based measurement meets big data
  • leveraging government service delivery frameworks with advanced data analysis
  • the role of data visualizations in telling compelling impact related performance stories
  • implications for integrated planning and evaluation

15:15 EDT

60 min
Dan Gillman

What Is Required to Achieve Data Transparency?

Dan Gillman, Information Scientist, US Bureau of Labor Statistics

  • Transparent data are those that can be discovered, understood, or responsibly used, and this happens because there is enough information to allow it
  • The available information include descriptions of the data and related things, and these are called metadata
  • These metadata help to answer some of the following questions:
    • Do some data exist, if so where are they, and how are they obtained?
    • How are the data represented, what do they mean, and how are they laid out in a file or feed?
    • What are the design considerations and restrictions associated with how the data were generated and may be used?
  • We need to be sure, in principle, the necessary metadata exist, and this is through the notion of conformance to a metadata specification – which we explain
  • In practice, the metadata also have to be the “right” metadata; they need to be of high quality
  • Finally, the system(s) built to facilitate the discovery, understanding, and use activities need to be usable