Using AI and Analytics in Government Program Expenditure Management
Webinar Series: Part 1

The Value of Proactive Analytics to Prevent
Fraud, Waste and Abuse Across Government 

On-Demand | Cost: Complimentary

About the webinar

Don’t miss this first part of our  four-part webinar series where we tell success stories, show you what’s possible and help to inspire you to continue onto our subsequent 3 webinars focusing on the “HOW”.  

Join us in this  webinar  where we  start with an overview of industry, client and SAS experience.  We will explore several use cases in Canada, US and globally where data, analytics and AI has been used to create better outcomes for government and citizens through proactive and preventative analytics. 

In this webinar, we will:

  • Explore use cases around application of AI and Analytics to social benefits programs, public health insurance and government grants and tax programs
  • Demonstrate best practices in creating better outcomes through proactive and preventative analytics 

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Discover More of the Webinar Series

Let’s Learn from the Industry - Successful Practices in Data and Analytics in Government

Plan for Success - Moving from Concept to       Proof to Production in Government                                                                               

  Making Your Case and Selling Your Ideas -                     Hear from the Experts                                           

About the Experts


Carl Hammersburg
Sr. Manager, Gov't and Healthcare Risk and Fraud, Global Security Intelligence Practice
SAS Canada

Carl manages the Government and Healthcare Risk and Fraud team at SAS.  He joined SAS in 2012, following 22 years in government, working for the State of Washington.  

In his time with SAS, Carl has worked with government executives and elected officials in a dozen countries on fraud and risk in healthcare, public assistance programs, tax, unemployment, workers’ compensation and a range of other programs.   

Carl’s career started in government health care, then moved to the Department (Ministry) of Labour, where he spent 20 years in tax collection, auditing, claim and provider fraud prevention in a multi-billion dollars workers’ comp program.  In his last 8 years, he formed and ran a new division covering all anti-fraud and compliance efforts at the Department.  With a focus on data sharing and use of analytics for detection, audits doubled, investigations tripled, and the program exceeded a $10:1 ROI for all efforts.  Those results received national recognition, and awards from two successive administrations in Washington.

Carl holds a Bachelor of Arts in Business Administration from the University of Washington. 


Dan McKenzie
Customer Advisory, Global Security Intelligence Practice
SAS Canada

With over 15 years of experience in Fraud and AML, and over 25 years of experience in financial services, Dan has helped countless customers solve their financial crime challenges in banking, insurance and government. 

Dan started out his career in IT before moving to the business side to help business units implement technology. He them moved into Financial Crimes when consulting at TD Bank on their AML implementation in 2003. After that, Dan joined SAS as the Fraud lead for Canada. Dan departed SAS and gained further experience with TransUnion as the Director of Fraud and ID management. After 5 years there, he moved on to RBC as an Enterprise Fraud Strategist. Dan brought his real-world experience back to SAS when he rejoined in December 2017. 

Dan has passion and expertise in Social Network Analysis, Advanced Analytics (machine learning), payments fraud, Insurance fraud and first party fraud.

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