The seminar provided very useful info to take back to management in order to make better decisions in our use of social media tools. - Web Communications Advisor, Health Canada
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Big Data and Analytics for the Public Sector

Enhancing Data-Driven Decision Making

May 29 - 30, 2018  ·  Toronto, Ontario
Day Two Program Agenda: Wednesday, May 30, 2018
8:00 - 9:00        Continental Breakfast
9:00 - 9:10
Opening Remarks from the Keynote with an Introduction by the Chair
James Capotosto, Chief Economist, Ministry of Corrections and Policing, Government of Saskatchewan
9:10 - 10:00
The Intersection Between Big Data and Paying for Outcomes
James Capotosto, Chief Economist, Ministry of Corrections and Policing, Government of Saskatchewan
  • Using data to improve well-being and achieve other sought after outcomes
  • Effectively allocating resources from a value for money perspective and the viewpoints of multiple stakeholders
  • Using data to inform the triple bottom line, i.e., expected returns as a function of cost avoidance, public revenue, and better outcomes
  • What the dynamic between data and value will look like in the future
10:00 - 10:20        Networking Break
10:20 - 11:10
The Evolving Data Team and Service Delivery at Regional Municipality of York
Peter Chu Su, Data Scientist, Data, Analytics and Visualization Services Branch Corporate Services, Regional Municipality of York
  • How a GIS team evolved to a data analytics team: acquiring expertise in data, tools Examples of tools and projects
  • Why having a GIS background positioned the team better for 'horizontal analytics' servicing all departments
  • Spearheading open data/open analytics and internal capacity: data academy and communities of practices
11:10 - 12:00
Improving Public Policy with Behavioural Science
Meera Paleja, Behavioural Scientist, Treasury Board of Ontario
  • Changing human behaviour is central to many public policy challenges
  • Government will often utilize tools such as regulations and incentives to motivate behaviour change, and behavioural science offers new tools that can complement these traditional approaches
  • Behavioural science takes into account the biases and heuristics that influence the choices people make, and uses the scientific method to generate evidence that tells us what works and what doesn't
12:00 - 1:10        Luncheon Break
1:10 - 2:00
Using Data and Analytics to Drive Decision-Making at the City of Edmonton
Justin Findlay, Manager, Technology Investment, City of Edmonton
  • Examining the ways in which the advancement of open government has allowed the City of Edmonton to be a global leader (and award winner) in releasing and using data to make decisions
  • Using data and analytics to fight and prevent crime
  • Using data and analytics to optimize turf maintenance (grass cutting)
  • Showcasing your projects to the management level through a single portal
  • Other case study examples and future projects
2:00 - 2:50
Getting to Impact: An Outcomes-Based Granting Model for the Public Benefit Sector
Blair Dimock, Vice-President, Partnerships and Knowledge, Ontario Trillium Foundation
Ben McNamee, Director, Measurement, Evaluation, and Business Intelligence, Ontario Trillium Foundation
  • Develoingd a new outcomes-based investment strategy
  • Designing and implementing a simpler, more streamlined application process
  • Introducing a more objective, data-driven decision making model
  • Embedding a robust data model to capture the results of its grantees' work
  • New business intelligence tools and techniques to enable evidence-based decision making and enhance its reporting on the overall impact of its investments
  • Adopted a "digital first, open by default" approach to support an evidence-based approach in the nonprofit sector
2:50 - 3:10        Networking Break
3:10 - 4:00
Projects Update: National Research Council of Canada's Data Analytics Centre: Overview of Public Projects
Christos Sarakinos, Manager, Digital Technologies, National Research Council of Canada
  • Machine Learning, an Approach to Artificial Intelligence
  • Success Factors for Data Analytics Projects
  • Data Analytics, Modelling and Prediction
  • Overview of DAC Projects
4:00 - 4:50
Making Government Services Simpler, Faster, and Easier to Use
Dorothy Eng, Director, Partnerships, Code for Canada
  • Government services that are user-centered, iterative, and data driven are ones that meet residents' needs
  • Code for Canada's Fellowship, which is a pilot for government teams to work in new ways and leverage new technologies
  • Growing civic tech movement in Canada and how residents are helping local governments to address civic challenges using tech, data and design
  • Attracting and retaining digital talent to the public sector
  • Examples of projects where groups, like Code for Canada, are helping governments to user-centered, data-driven services
  • How you can plug your team into the work that Code for Canada is doing around civic technology and better public service delivery
4:50        End of Day Two
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The amount of data that's available for public use is exploding, and as such, implementing big data projects is becoming a major priority across the public sector. Big data, analytics, and business intelligence provide limitless opportunities for improving service delivery, informing policy decision-making, and boosting organizational performance. The public sector is under increasing pressure to ensure ease of use, reliability, speed, and access to their services, for all citizens.

However, there are still numerous hurdles to overcome before you can take advantage of big data's opportunities. These challenges include securing organizational buy-in, complying with privacy and legal regulations, and breaking down silos to effectively collaborate with different departments.

INFONEX's two-day Leveraging Big Data & Analytics for the Public Sector will help you understand the benefits and pitfalls of big data and how it can be used to improve business functions and secure competitive advantage. Our faculty of leading experts will provide you with strategies for overcoming hurdles, securing buy-in, gathering and integrating your data, and leveraging your data to improve services and policy decisions.

Learn how to extract relevant information from data that can be used to make better organizational decisions. Get tips for overcoming challenges of implementing and maintaining a data governance program. Uncover ways to mitigate performance risks with business intelligence. Examine proven techniques for measuring the performance of your analytics and manage legal and privacy issues surrounding business intelligence.

Join us in Toronto to learn the best practices for collecting and leveraging big data and analytics. Register today!

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