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 - 10:00
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
10:00 - 10:15        Networking and Refreshment Break
10:15 - 11:15
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
11:15 - 12:00
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.
12:00 - 1:00        Luncheon Break
1:00 - 2:00
Machine Learning applied to big data at the Data Science Division
Monica Pickard, Data Science Division, Chief, Statistics Canada
Nicholas Denis, Data Scientist, Statistics Canada
Stan Hatko, Data Scientist, Statistics Canada

The Data Science Division at Statistics Canada aims to build Data Science capacity by solving concrete problems, has an applied AI/ML solutions expertise and delivers practical results enabling clients to move forward confidently with big and unstructured data.

  • Our mission and big data projects
  • From intake to production, workflow and lessons learned
  • Sharing through Communities of Practice
  • An applied perspective: In-season crop prediction from satellite images
  • An applied perspective: Retail scanner data project
2:00 - 3:00
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!
3:00 - 3:15        Networking and Refreshment Break
3:15 - 4:15
Democratization of AI/ML: The Evolution of Tools for Advancement of Data Analysis
Rowan Sciban, Cloud Solution Architect, Data & AI, Microsoft

This presentation will focus on the skill sets and tools required for the Citizen Data Scientist — a new breed of advanced business analysts. You will see how these tools help organizations apply more sophisticated data analysis when advanced data science skill sets are not available.

  • In some cases, technically advanced business analysts are able to leverage these tools to analyze available big data sources without reliance on IT or highly skilled Data Scientists.
  • Data Scientists are still required for complex ML problems, however it is not feasible to deploy such individuals everywhere that AI and ML will be needed.
  • Skilled analysts are stepping up into a role where they can apply AI and ML techniques, with the help of user-friendly tools to get real results.
4:15        End of Seminar





Platinum Sponsor

Hitachi Vantara


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!

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