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A lot of excellent information was presented. Great resource material to follow up on. - Associate Vice-President, Financial Services
University of Saskatchewan
 
 
 
Unlock the Value in Your Data to Enhance Evidence-Based Decision-Making in Your Organization!

Big Data & Analytics for the Public Sector

Advance your knowledge in government-utilized predictive analytics, data visualization and artificial intelligence

October 1-2, 2019 · Ottawa, Ontario
 
   
 
Day Two - Wednesday, October 2, 2019
   
8:00 - 9:00        Registration and Continental Breakfast
 
9:00 - 9:10
Welcome and Opening Remarks from the Chair
Martin McGarry, Partner and Chief Data Scientist, Bronson Analytics
 
9:10 - 10:10
From Capacity to Build Statistics to Data Analytics Capacity Building
Eric Rancourt, Director General of the Methodology Branch, Statistics Canada
  • Recognize the types of data available and how they can be harvested
  • The power and limits of data and resulting conclusions
  • The importance of questioning and assessing quality
  • Anchoring the approach in a scientific and transparent framework
 
10:10 - 10:30        Networking and Refreshment Break
 
10:30 - 11:30
Data Visualization: A Smart Investment to Inform Better Decisions
Mana Azarm, Senior Data Analytics Strategist, City of Ottawa
  • What do we mean by Data Visualization?
  • Great data visualization examples
  • The advantages and benefits of good data visualization
  • How to find the most suitable data visualization tool(s) for your company
  • Open-source tools and data
 
11:30 - 12:30
Towards Open LMI Data
Tony Bonen, Director of Research, Data & Analytics, Labour Market Information Council

The Labour Market Information Council (LMIC) is exploring ways to create an open data repository for labour market information in Canada. In addition to bringing together a wide variety of data, all information will be organized and structured in ways that support the career, education, training and workplace decisions of Canadians. To do so, we have engaged Canadians in a series of public opinion research studies and focus groups about their labour market information needs.

  • LMIC is assessing the feasibility and utility of developing an open, online repository of labour market data, the “LMIC Data Hub”.
  • The LMIC Data Hub is meant to be a state-of-the-art well-structured, fully-scalable, relational database storing labour market information and related data.
  • The LMIC Data Hub would be built around the following principles: Open Data, Open Code, Free Use, Clear Documentation, Easy to Navigate, Validated Data, and Up to Date information.
  • The LMIC Data Hub would support policy makers, researchers and labour market intermediaries such as career development practitioners, educators among others who directly support Canadians make informed career and training decisions.
 
12:30 - 1:30        Luncheon Break
 
1:30 - 2:30

 
2:30 - 3:30
Predicting and Visualizing How Ottawa's OC Transpo Light Rail Will Change Our Daily Commute Forever
Martin McGarry, Partner and Chief Data Scientist, Bronson Analytics
  • Predicting the future impact on Ottawa's new light rail was a challenge when no timetables or the usual commuter tools existed. He will take us 5 years from now to when Ottawa has an integrated light rail system covering the entire city.
  • Martin will demonstrate how to create an amazing story through the use of advanced analytical and visualization tools.
  • Has your commute improved? Where should you be buying a future home? Is cycling a better commuting method? Did the city spend our money wisely?
  • First he will outline the key components of a compelling data story and what were the drivers behind the analysis. Then he will show you behind the curtain on how the story was created. Using Google API's, TomTom data, Alteryx, Tableau, Mapbox and more he will explain the challenges involved in creating true business or citizen insights!
 
3:30 - 3:45        Networking and Refreshment Break
 
3:45 - 4:45
Enabling Service in Analytics and AI
Mark Armstrong, Deputy Chief Information Officer, Natural Resources Canada
  • Overview of what a CIO organization in NRCan is doing to support data analytics and AI
  • Overview of four pillars that effort is going into making AI and analytics successful
  • Practical examples of analytics
 
4:45        End of Day Two
   

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Bronze Sponsor
Environics Analytics

 

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 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 Ottawa to learn the best practices for collecting and leveraging big data and analytics. Register today!

Telephone: 1.800.474.4829  |   360 Bay Street, Suite 900, Toronto, ON  M5H 2V6   |   Fax: 1.800.558.6520  |  Contact Us
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