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 One Program Agenda: Tuesday, May 29, 2018
8:00 - 9:00        Registration and Continental Breakfast
9:00 - 9:10
Welcome and Opening Remarks from the Chair
James Capotosto, Chief Economist, Ministry of Corrections and Policing, Government of Saskatchewan
9:10 - 10:00
Modernization: From Data to Insights - 100 Years and Counting
Anil Arora, Chief Statistician of Canada
  • History with data
  • Drivers and possibilities
  • Fundamental trade-offs: stretched out into the future
  • How Statistics Canada is responding to these challenges
  • Examples of projects: how insights are translating into better policy-making (cannabis data, housing data, etc.)
  • Big data and the current interplay jurisdictional boundaries
  • Collaborations driving value
10:00 - 10:20        Networking Break
10:20 - 11:10
Data Analytics and Outcomes at the Alberta Energy Regulator
Tara Mulrooney, Chief Information Officer, Alberta Energy Regulator
  • Digital and technology transformation
  • Global enterprise architecture
  • Assess business rules within policy/regulations
  • Using spatial and analytical functionality embedded in our "one stop" solution
11:10 - 12:00
Applying Data to Policing, Crime, Community Safety and Planning in Saskatchewan
James Capotosto, Chief Economist, Ministry of Corrections and Policing, Government of Saskatchewan
  • Drawing insight and actionable intelligence from the vast quantities of information collected through public, private, and philanthropic agencies
  • Opportunities and benefits associated with collaboration and data integration amongst agencies;
  • Risks and mitigation techniques related to data integration; and
  • Future of data-driven service delivery
12:00 - 1:10        Luncheon Break
1:10 - 2:00
King Street Transit Pilot: Data Monitoring and Analytics Program
Jesse Coleman, Team Lead, Big Data Innovation, City of Toronto
  • Improving transit reliability, speed, and capacity on the busiest surface transit route in the city: the King Street Transit Pilot (launched November 2017)
  • Implementing a number of innovative data collection methods in order to provide regular reporting on the impact of the pilot on commuters, residents and businesses in downtown Toronto
  • Focussing on an open source and open data models throughout the collection and reporting pipeline
  • Importance of the role of in-house data science capability in government, and the type of transformation that can be achieved with this capability in place
2:00 - 2:50
Data Integration for Public Sector Insights, Environics Analytics
Rupen Seoni, Senior Vice-President and Practice Leader, Environics Analytics
  • Privacy-friendly integration techniques
  • Combined insights from administrative data, surveys, demographics, mobile device usage and geography
  • Case studies from Toronto Police Service and Voter Turnout from the 2014 Ontario Election
2:50 - 3:10        Networking Break
3:10 - 4:00
Building Data Science Capacity in Healthcare Administration
Saad Rais, Lead Data Scientist, Ontario Ministry of Health and Long-Term Care
  • Advancing patient and health system performance outcomes
  • Exploring various applications of data science: informing the design of a case mix payment system
  • Coordinating resources and stakeholders to stay on track
  • Future projects
4:00 - 4:50
Protecting Privacy while Conducting Big Data Analytics
David Goodis, Assistant Commissioner, Information and Privacy Commissioner of Ontario
David Weinkauf, Senior Policy and Tech Advisor, Information and Privacy Commissioner of Ontario

While big data can be an important tool, it raises a number of privacy and fairness concerns that need to be address by government institutions in order to prevent uses of personal information that may be unexpected, invasive, inaccurate or discriminatory.

  • How Ontario privacy legislation both authorizes and limits big data practices
  • Privacy considerations at each stage of a big data project
  • Best practices for protecting personal information while using big data
4:50        End of Day One
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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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