Utilize Existing CFS Data to Leverage and Support Data-Driven Decision Making
February 28, 2018 | 2:00 - 3:00 pm ET
Calls for service (CFS) drive the demand for public safety and emergency service resources, making CFS data the foundation for understanding operational demands and strategic priorities.
CFS Analytics is a tool developed by RTI International to automate the analysis of this important data source. Leveraging the value of CFS data, decision makers are able to more effectively understand their agency’s data to make better-informed business, resource and community decisions.
Please join us for a free webinar that will discuss how RTI’s tool has streamlined the analysis of CFS data. The webinar will also include a brief demo on using CFS Analytics to easily unlock the full capability of your data.
Who should attend: CIOs and Municipal Data Managers
Learning objectives include:
- Discovering how you can use CFS data to make operational decisions that will make your city more efficient.
- Understanding how CFS analytics makes your job easier by delivering visuals to easily automate data.
- Learning how you can use CFS analytics to filter and disseminate the data within your municipality.
Meet the Webinar Presenters
Mr. Acken is a senior law enforcement policy analyst in RTI's Policing Research Program. He has more than 30 years’ management experience in uniformed patrol, investigative, and technology-related law enforcement and public safety activities.
Mr. Aagaard is a policing research analyst in RTI's Policing Research Program and has experience managing and analyzing data and clearly communicating analytical results. Mr. Aagaard has worked with law enforcement at local, county, state, and federal levels.
Ms. Casper is a policing research analyst in the Policing Research Program. She has well-rounded experience in analyzing criminal data through extensive analysis of public databases, social media, and relevant criminal documents. Ms. Casper has worked as a crime and intelligence analyst at the state and local level.