Beyond the Report: Why Data Analytics Is the Next Frontier in Law Enforcement

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Your data already knows things you don't. This Coreforce webinar, held in partnership with FBINAA, shows you how to turn it into smarter patrol, stronger budgets, and safer AI, before someone else explains the pattern you missed.

Insights for safer, smarter operations.

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Beyond the Report: Why Data Analytics Is the Next Frontier in Law Enforcement
Your data already knows things you don't. This Coreforce webinar, held in partnership with FBINAA, shows you how to turn it into smarter patrol, stronger budgets, and safer AI, before someone else explains the pattern you missed.
October 21, 2026

Webinar

Paul San Soucie GM of CAD/RMS/JMS, Coreforce
Eric Butcher, Data Scientist, Coreforce
Stephanie Noel, Sales Engineer, Coreforce

Event Details:
Date: October 21, 2026, 1:00 to 2:00 PM EST
Format: Live Teams webinar in partnership with the FBINAA.
Can't make it live? Register anyway, the replay goes to every registrant.


About this session:

Vehicle burglaries spike in one neighborhood every weekday between three and five, right when school lets out. Nobody built that pattern. It's already sitting in your CAD, waiting for someone to break it down and ask why. A driver gets a warning for doing 60 in a 40, then gets the same warning again a week later from a different officer who has no idea the first stop happened. A repeat offender turns up as a victim in one report, a witness in another, and a suspect in a third, and nobody connects the three because the records live apart. None of this is a technology problem. It's a decision about whether anyone looks. This session is a direct conversation with the people who build and run the systems agencies use to make that decision every day.

What you will learn:

  • How a pattern like a weekday crime spike near a school can reveal where patrol needs to focus
  • Why data-backed staffing and budget requests hold up better than instinct alone
  • How linking a person's history across cases, as a victim, witness, or suspect, reveals patterns that stay hidden when records are stored separately
  • Where AI gets risky with police data, and what a safer approach looks like instead


Who you will hear from:

  • Paul San Soucie is the General Manager of CAD/RMS/JMS at Coreforce, with over 20 years in government technology, including leading the Louisiana Computerized Criminal History system and the Florida Arrest Affidavit project.
  • Stephanie Noel, CPE, is a Sales Engineer at Coreforce with more than 28 years spanning emergency communications and public safety operations, including two decades with the Hopkinsville-Christian County Emergency Communication Center, where she retired as 911 Director.
  • Eric Butcher is a Data Scientist at Coreforce who designs and builds the company's cloud-based data analytics platform, focused on turning public safety data into reliable, usable information without relying on a black-box model.

Share this webinar

Upcoming Webinars

Dark blue background with faint grid lines and scattered circular nodes.
October 21, 2026

Webinar

Beyond the Report: Why Data Analytics Is the Next Frontier in Law Enforcement
Paul San Soucie GM of CAD/RMS/JMS, Coreforce
Eric Butcher, Data Scientist, Coreforce
Stephanie Noel, Sales Engineer, Coreforce

Event Details:
Date: October 21, 2026, 1:00 to 2:00 PM EST
Format: Live Teams webinar in partnership with the FBINAA.
Can't make it live? Register anyway, the replay goes to every registrant.


About this session:

Vehicle burglaries spike in one neighborhood every weekday between three and five, right when school lets out. Nobody built that pattern. It's already sitting in your CAD, waiting for someone to break it down and ask why. A driver gets a warning for doing 60 in a 40, then gets the same warning again a week later from a different officer who has no idea the first stop happened. A repeat offender turns up as a victim in one report, a witness in another, and a suspect in a third, and nobody connects the three because the records live apart. None of this is a technology problem. It's a decision about whether anyone looks. This session is a direct conversation with the people who build and run the systems agencies use to make that decision every day.

What you will learn:

  • How a pattern like a weekday crime spike near a school can reveal where patrol needs to focus
  • Why data-backed staffing and budget requests hold up better than instinct alone
  • How linking a person's history across cases, as a victim, witness, or suspect, reveals patterns that stay hidden when records are stored separately
  • Where AI gets risky with police data, and what a safer approach looks like instead


Who you will hear from:

  • Paul San Soucie is the General Manager of CAD/RMS/JMS at Coreforce, with over 20 years in government technology, including leading the Louisiana Computerized Criminal History system and the Florida Arrest Affidavit project.
  • Stephanie Noel, CPE, is a Sales Engineer at Coreforce with more than 28 years spanning emergency communications and public safety operations, including two decades with the Hopkinsville-Christian County Emergency Communication Center, where she retired as 911 Director.
  • Eric Butcher is a Data Scientist at Coreforce who designs and builds the company's cloud-based data analytics platform, focused on turning public safety data into reliable, usable information without relying on a black-box model.

Share this webinar