Using AI and Analytics in Government Program Expenditure Management                                           Webinar Series: Part 2

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

On-Demand

About the webinar

Don’t miss this second part of our four-part webinar series where we begin to focus on the 'HOW' behind successful preventative programs. Our industry experts will explain best practices and approaches in two key areas: Data and Analytics. We will discuss the importance of data management, quality and discovery techniques as well as a framework for growing your analytics practice from an initial starting point through to capabilities such as Artificial Intelligence and Machine learning. Our speakers will focus on pragmatic experience and guidance and offer steps through your analytics journey.

In this webinar, we will:

  • Explore the 'HOW' behind successful preventative programs 
  • Demonstrate best practices and approaches in two key areas: data and analytics  
  • Discuss the importance of data management, quality and discovery techniques 
  • Showcase industry examples outside of Government 

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Discover More of the Webinar Series

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

Register for Part 1

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

Register for Part 3

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

Register for Part 4

About the Experts


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.


Dan Finerty
Senior Data Scientist
SAS Canada

Dan Finerty is a 40-year veteran in transforming data into actionable intelligence.  His career spans SAS, Informatica, Progress Software and IBM.  Dan’s current focus at SAS as a data scientist is to help customers manage all aspects of the data and analytics lifecycle.

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