- Health Canada
- Indigenous and Northern Affairs Canada
- Canada Border Services Agency
- Service Canada
- Treasury Board of Canada Secretariat
- Canada Deposit Insurance Corporation
- Correctional Services Canada
- Statistics Canada
- Environment Canada
- Senate of Canada
- Canada Revenue Agency
- Shared Services Canada
- Ontario Lottery and Gaming Corp.
- Public Works and Government Services Canada
- City of Ottawa
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.
GAN Workshops and Presentations:
Data Analysis to Monitor Financial Risk, Controls, and Operations – January 30, 2017
David 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 (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
Jack 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
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
Stephane D’Avril-Favreau, Tableau consultant and product-sales consultant, 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
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 or to become a member of the Government Analytics Network, please contact firstname.lastname@example.orgOttawa.ca.