Utilizing Analytics to mitigate

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Presentation transcript:

Utilizing Analytics to mitigate Predictive analytics Premise Security Analytics Analytics Decisions Social Media

LPRC Zones of Influence Model Before/Beyond the Parking Lot

Zone 5 Context: Awareness- Detecting- A threat An offender A crew A pattern Defining- Action- Investigating Documenting Deterring Incapacitating

Impact App Question: Is your organization collecting and analyzing POS and other data for investigative action?

First 7 Events Prediction Zone Next Event Predictive modeling example using the skimmer case from NE. Our software predicted the 8th event. Non-Sensitive

A picture of digital transactions in the negative sense framed up as “’where we don’t want to enter the investigation at” Non-Sensitive Seamless security at scale

ROCRAIDS Retail Organized Crime, Regional Analysis & Information Data Sharing Web-based data sharing platform Integration between public and private sector Geospatial analytics, temporal analysis and forecasting! Analytical dashboards, reporting, BOLO’s and more!

Facility Protection & Security Planning ROCRAIDS Facility Protection & Security Planning Crime data from over 1,000 law enforcement agencies Real-time crime trends and analysis Identify emerging crime issues and security threats in the area around a facility Implement response protocols

Voyager Topology After running the profile through Voyager, any open source information is captured. In this case, the account’s timeline was wide-open, which allowed Voyager to capture the user’s friends.

Link Analysis The information captured within Voyager allows the user to view the friends in a link chart to better analyze the data.

Impact App Question: Please rate how much R&D effort LPRC should put into enhancing Zone 5 awareness and action (1=very low, and 5=very high)?