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Participating Departments

  • Health Canada
  • Indigenous and Northern Affairs Canada
  • Canada Border Services Agency
  • Service Canada
  • Treasury Board of Canada Secretariat
  • RCMP
  • Canada Deposit Insurance Corporation
  • DND
  • Correctional Services Canada
  • Canada Post
  • Statistics Canada
  • Environment Canada
  • Senate of Canada
  • Canada Revenue Agency
  • Shared Services Canada
  • Public Works and Government Services Canada
  • City of Ottawa
  • Employment and Social Development Canada
  • Public Services and Procurement Canada
  • Environment and Climate Change Canada
  • Canadian Food Inspection Agency

The Government Analytics Network (GAN) brings together government departments to learn and share best practices for implementing and improving the use of data and analytics. The GAN meets approximately every second month at the Telfer School of Management, University of Ottawa.

For additional information, register for an event, or to become a member of the Government Analytics Network, please contact us – tyler@telfer.uOttawa.ca.

GAN Workshops and Presentations:

 

“Canada Revenue Agency–Defining and Addressing Risk”
& “Demystifying Data Science in Government Operations”

October 11, 2018
9:00 am to 10:30 am
DMS-7170 (55 Laurier Ave. East)

Éric Paluck-Leblanc
Senior Programs Officer, Data Mining Section
Business Intelligence, Research and Analytics Division
Canada Revenue Agency

David Maybury, PhD
Senior Systems Analyst – Head Data Scientist
ADIMS – Analytics, Data, and Information Management Services
Digital Services Branch (DSB)
Public Services and Procurement Canada

Registration: Please contact Angela, tyler@telfer.uottawa.ca 

Canada Revenue Agency–Defining and Addressing Risk

Description:  Mr. Paluck-Leblanc will be discussing how Data Sciences and Predictive Analytics helped the Collections and Verifications Branch use a data-driven, risk-based approach to manage its inventory of Individual T1 non-compliance.

Demystifying Data Science in Government Operations

Description:  Sometimes good ideas in science get rediscovered decades later, get rebranded, and then get re-rediscovered as people make connections to the old literature. This process in science sometimes feels like being a medieval waterworks architect who then stumbles on the Roman Aqueduct of Segovia and realizes that what you’ve been doing isn’t that new at all!

Data science in government has the feel of rediscovery in the sense that we are still using data to inform decision making. While computational power and techniques have exploded over the last few decades, the central activity of using data in a rigorous quantitative manner to make better decisions has been with us since at least our contributions to WWII.

In this talk David Maybury will explain how the application of data science in a government context is really an offshoot of operations research. By focusing on the operations research aspects of decision problems, senior leadership can gain a better understanding of how to exploit data science and how to better situate data scientists within decision making teams.

________

Bios:

Éric Paluck-Leblanc has been working in the Applied Predictive Analytics Section (APAS) at the Canada Revenue agency for over 11 years.  He started at CRA in 1998 as a summer student, at a time when you had to be learning computer sciences to be hired because you may need to use MS Word or Excel.  He soon started work on this new thing called “websites” which gave him some exposure and facilitated his hiring as a full time employee.  From then on, he was a jack-of-all-trades: coding, scripting, new technology initiatives, etc.

In the summer of 2007, he transferred to the Data Mining Section (later called APAS) to work on “risk scores”.  This turned out to be a perfect match for his interests and aptitudes.  

With a combination of formal training, PhD mentoring, on-the-job experience and industry conferences, he has become quite adept at what was later to be known as BI and Data Sciences.  He has seen the field change from a data-driven opaque science to a more client-centric, process-changing approach, with the goal of addressing the main hurdle facing analytics initiatives: changing the culture.  As machine learning becomes ever more present and senior executives lose decision power to the algorithms, the organisational culture needs to be forever addressed and the changes well-managed.

Éric holds a Bachelor’s degree in teaching, with a specialty in Computer sciences and Mathematics.

David Maybury received his BSc in Applied Mathematics from the University of Western Ontario and his PhD in Physics from the University of Alberta. He was a postdoctoral fellow with the Rudolf Peierls Centre for Theoretical Physics, University of Oxford, before joining Defence Research and Development Canada (DRDC) as an operations research scientist.  At DRDC, David applied statistical learning and data science to military decision problems for Canada and for international partners. This spring David joined Public Services and Procurement Canada as the department’s lead data scientist.

 


 

“Domain Awareness According to AI/ML-driven Big Data Analytics” – May 22, 2018

Rami Abielmona (Ph.D., P.Eng., SMIEEE) VP Research and Engineering at Larus Technologies

In this talk, Rami presented Artificial Intelligence (AI) and Machine Learning (ML) solutions involving unique learning algorithms that allow us to process vast amounts of critical information combined with knowledge acquired from specific domains.

Rami presented innovative concepts such as sensor cross-cueing and tasking, automated data collection scheduling and planning as well as response generation to provide focused surveillance and account for behavioral intents while ensuring that no event of interest is missed because of human fatigue or because of data overload while only relevant alarms are investigated.


 

“Thinking with Data” & “Blockchain in the Public Sector” – March 22, 2018

Dennis Buttera, Education Lead, Advanced Studies, IBM Canada

Thinking with Data – Dennis discussed some of the encountered problems and the steps necessary to turn our observations into knowlegde.

Blockchain in the Public Sector – Blockchain, as a disruptive technology, has the potential of changing how we manage and provide services. 
Dennis provided an introduction to Blockchain.


 

“REGTECH”, meet “REGTHINK” – Battling regulatory burden with technology and systems-based problem solving (Cancelled! To be rescheduled)
January 25, 2018

Dan Duguay, Senior Director Business Development at Thomson Reuters Canada.
Mr. Duguay will be discussing the current corporate approaches and solutions in REGTECH, along with the importance of considering problem solving methods such as design thinking and systems-based approaches. The relevance of using these problem solving methods to guide regulatory research will be explored, as well as, ongoing deliberations in how best to reduce the regulatory burden.


 

“Prioritization of projects with GAFA-S Model” – November 22, 2017

Omer Livvarcin (Ph.D.), Program Manager (TELFER Master of Business in Complex Project Leadership), Consultant and retired Turkish Naval Officer

Many Government organizations struggle to prioritize potential projects where what needs to be done surpasses the resources available. Determination of high priority projects is one of the most challenging responsibilities of decision makers. A holistic, generic, analytical, objective and applicable prioritization model can be helpful in deciding what matters most.

This session discussed the GAFA-S Model which was developed and successfully applied by Omer Livvarcin on the prioritization of research, development and procurement projects.


 

“Towards Regulatory Intelligence” & 
“Using Analytics to Drive Program Outcomes: A Case Study”
– September 27, 2017

Okhaide Akhigbe, Doctoral Candidate in Electronic Business and Part-time Professor, University of Ottawa

ImageOkhaide’s research “explores the use of conceptual modeling techniques and data visualization tools to enable monitoring and assessing how regulations, programs and other enforcement activities perform.
The significance and outcomes of this research will equip regulators with better evidence to report and describe how regulations and policies perform and identify priority areas of focus and opportunities for continuous improvement of regulatory initiatives.”

 

Gregory Richards, MBA Program Director and Director of the Centre for Business Analytics and Performance, Telfer School of Management

richards-960x430“Analytics has been used extensively to address specific challenges in government such as crime fighting, border control,
and citizen engagement.  But, it is rare that a public sector organization can integrate an analytics approach across their entire program.
This case study provides an overview of the approach used in one organization and ends with the discussion of a made-in-government Analytics Maturity Model.”


 

 The other innovation challenge: building capacity to innovate – May 17, 2017

Ed BernackiEd Bernacki, innovationalist, presented at the ISED Service Lab.  Ed provided an overview of how innovationists can challenge the status quo and bring innovative ideas to life.
 
We would like to thank Ed for sharing his book with all of us: 30 Great Ideas: Building Skills and Capacity to innovate for the public sector professionals.  

For more information on innovation, visit: www.PSIdeaFactory.com.


 

Data Analysis to Monitor Financial Risk, Controls, and Operations – January 30, 2017

DDave 2016avid Coderre, CAATS presented on data-driven analytical techniques to:
 – Test financial controls
 – Assess efficiency and effectiveness of financial business processes
   and financial operations
 – Assess financial risks of departmental activities or projects


 

Risk Detection with Analytics – November 24, 2016

grant-woodward-securetechGrant Woodward (Strategy Executive, Government Markets, SAS Canada) presented on best practices in the application
of analytics to detect various types of operational risk.  

The presentation used examples from domains such as customs and border security, intelligence analysis, and financial audit.


 

Visualization Best Practices – Sept 28, 2016

martin-jack-1542Jack Martin, National Director of Forensic Data Analytics at KPMG, provided an excellent presentation
focused on tips for data visualization – including which charts to use and why, best practices (and worst practices),
how to uncover insights quickly and, most importantly, how to present the information in a comprehensive way, to ensure maximum retention from your audience.


 

Azure Machine Learning Studio – May 30, 2016

Government Analytics Connection

Susan Ibach, senior technical evangelist at Microsoft Canada led a morning workshop on Azure Machine Learning Studio.  During the session, we learned how to use a dataset to train a model; how to evaluate the accuracy of a trained model; and how to expose the trained model as a web service so a website or application that makes its own predictions can be created.

 

 

Introduction to Tableau – January 21 & April 12, 2016

Government Analytics Connection

Stephane D’Avril-Favreau, Tableau consultant and product-sales consultant, and Cindy Courtemanche,
account manager, Canadian Public Sector, led a morning workshop on Tableau.

Tableau is being introduced to students taking the Business Intelligence Technologies and Big Data Analytics course (ADM 6275C).


 

Introduction to IBM Watson Analytics – November 24, 2015

Introduction to IBM Watson Analytics

Jason Salares, MBA 2012 and currently a Watson Analytics Evangelist with IBM, led a workshop on Watson Analytics for the CBAP’s Government Analytics Network members. MBA students are now learning Watson Analytics.

 

 


For additional information, register for an event, or to become a member of the Government Analytics Network, please contact us –  tyler@telfer.uOttawa.ca.

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