Data Modeling and Analysis Solution

The vendor is required to provide a proven data modeling and analysis solution for use by Barrie fire and emergency services (“BFES”).
- The solution will be a cloud-hosted software solution.
- The city recognizes that leveraging advancements in analytics tools could allow this data to be utilized more effectively to support planning and decision-making processes primarily pertaining to the following:
• Emergency response modeling;
• Emergency management services;
• Community risk reduction; and
• Predictive analytics capabilities for each of the above
- The services to successfully implement their proposed solution, which will include the initial setup and configuration, integrations, and training of the city’s identified users.
- The proposed solution shall be a software as a services (“SaaS”) model, accessible through all commonly used devices and commonly available internet browser interfaces.
- Mandatory general specifications
• The solution, including all mandatory technical specifications, shall be a commercial off-the-shelf (“COTS”) software, with required functionalities available out-of-the-box. 
• While configuration may be necessary along with limited development for integrations, customized development for core functionalities shall not be required as the proposed solution already exists in a fully working form.
• The solution shall be a SaaS solution fully hosted by the supplier including all data storage and traffic needs, and all related security, support, and maintenance.
• All data, servers, back-ups, and related infrastructure required to host the solution shall be located exclusively within country.
• The solution shall be accessible through all common end-user devices (including but not limited to; computers, tablets, and smartphones), while utilizing all commonly available browser interfaces (including but not limited to; microsoft edge, google chrome, apple safari, and Firefox), without requiring the installation of any additional clients, plug-ins, or add-ons.
• The solution provides secure access through multi-factor authentication or single sign on (SSO) through azure active directory (ad) security assertion markup language (SAML) integration.
- Mandatory functional specifications
• The solution must be able to forecast incidents based on historical incident data and on known city developments into the future.
• The solution must use sophisticated scientific-based predictive modelling methodology in data analysis and continuously learn from new data to improve prediction accuracy over time.
• The solution must be able to provide predictive modeling to community developments, new transportation networks, and other future growth that doesn’t have direct historical data.
• The solution must be able to test models of various station locations and apparatus deployments to aid in data-driven decision making.
• The solution must be able to utilize the city’s current community risk assessment (“CRA”) to create a ‘live’ living version of the CRA.
• The solution must be able to ingest various demographic and building data to assist in future CRA modelling and provide recommendations and identification of high-risk areas and populations in the city
• The solution shall be capable of using machine learning or statistical modelling to forecast incident likelihood by factors such as location, time, and type of incident.
• The solution shall be capable of providing reports identifying data trends and anomalies in incident patterns to inform proactive approaches for the city.
• The solution must be able to provide analysis and predictive analysis for the following fire department objectives:
1. Incident type and volume
2. Overall fire department performance including: dispatch, turnout, travel, first due vs all apparatus
3. Workload
4. Assist with root cause analysis of current and future predictive performance
• The solution shall have the ability for city users to drill-down and/or filter data views at various levels of Granularity (e.g., time, location, type of incident, etc.).
- Non-mandatory technical specifications
• The solution should be able to integrate with the city’s computer-aided dispatch (“cad”) solution, Motorola premier one cad, to ingest collected data with a minimum frequency of at least once per week.
• The solution should be able to integrate with common, cloud-based fire records management software (“RMS”) to ingest collected data with a minimum frequency of at least once per week
• the solution should have the ability to integrate with the city’s Esri ArcGIS software and map layers for use in data analytics and modelling.
• The solution should allow city staff to export data visualizations produced by the solution in a common image format (e.g., pdf, jpeg, PNG, etc.) for use in reports or other materials.
- Contract Period/Term: 3 years
- Questions/Inquires Deadline: June 30, 2025