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
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 - 12:00
Improving Public Policy with Behavioural Science
Meera Paleja, Behavioural Scientist, Treasury Board of Ontario
Heather Devine, Strategic Lead, Behavioural Insights Group, Policy, Innovation and Engagement Division, BC Public Service Agency
  • 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
Artificial Intelligence (AI) and Machine Learning: What It Means for Big Data
  • Convergence of machine learning, expert systems and big data analytics, the natural evolution
  • Extract meaning, determine better outcomes, and enable faster decisions
  • Purpose-driven data projects will be driven by AI
  • Ethical considerations of automated AI
  • Applications of AI taking hold in public sector service decision support and increasingly autonomous decision making
2:00 - 2:50
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
2:50 - 3:10        Networking Break
3:10 - 4:00
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
4:00 - 5:00
Projects Update: Big Data and Artificial Intelligence, National Research Council of Canada
Christos Sarakinos, Manager, Digital Technologies, National Research Council of Canada
  • Our research centre strategic plans
  • Managing business objectives
  • Stakeholder engagement
  • Activities of the Digital Technologies Research Centre
  • Activities of the Data Analytics Centre
5:00        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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