Ask the Expert Webinar Series

How Can SAS® Intelligence and Investigation Management Support the Homeless?

On-Demand • Cost: Complimentary

About the webinar

Join this webinar to learn how modern policing can use data and analytics to better serve and protect vulnerable populations.

Trust, transparency and community partnership are more important than ever to reduce crime and protect the vulnerable.

This session will explore how SAS is committed to using its analytic capabilities to impact one of the most challenging and complex humanitarian crises of our time.

Homelessness is an issue that affects many areas of society.

Compassion and care are important for individuals experiencing homelessness and the affected community.

You will learn:

  • How data-driven dashboards bring greater insight to the vulnerable.
  • The ability to understand the who, when, where and how of population outcomes using “whole person care” and “familiar faces.”
  • An application that allows law enforcement to reach out and interview individuals experiencing homelessness through a mobile device.
  • How this application allows law enforcement a comprehensive and up-to-date history of the person contacted, even if it is their first meeting.

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About the Experts


Todd Chamberlain
Principal Public Safety Industry Consultant, SAS

Todd is a proven, dedicated leader and servant with extensive experience in the design and oversight of various organizations focused on the security and protection of people, business and community assets. He is an experienced law enforcement executive with a history of working in the government administration industry. His skills include law enforcement, community policing and partnerships, constitutional policing and organizational legitimacy, emergency management, technology-driven crime reduction, critical incident management and protective services.


Richard Bright
Senior Presales Solution Architect, Justice and Public Safety, SAS

Richard is a passionate technologist with more than 10 years of professional experience in information technology (project management, cloud computing and agencywide IT modernization) and data architecture and analysis (data engineering, data warehousing, statistical software administration and data analysis).

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