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CASE STUDY

Emergency Services Dashboard Reporting

AT A GLANCE

Developed dynamic PowerBI dashboards with MongoDB integration, reducing manual preprocessing by 4-6 hours weekly. Implemented a SARIMA model to forecast incident calls with reliable 100-day predictions, enhancing resource planning and emergency response strategies.

Client information

Company Name
Business Intelligence provider
location
Canada
SIZE
Mid sized
INDUSTRY
Public Safety and Emergency Services
Services Provided
Emergency Services
100
Days predictions
4-6
Hour reduction on weekly manual processing

CHALLENGE

The client is specializing in records management software for fire services, faced challenges in providing real-time, data-driven decision-making tools for fire departments. Their existing reporting system lacked the capability to offer detailed and dynamic insights into key performance indicators (KPIs) crucial for efficient emergency response and resource management.

SOLUTION

Developed standardized PowerBI dashboards to enhance situational awareness, operational readiness, and enable tailored ad-hoc reports. Implemented predictive analytics to forecast event frequency and resource needs, supporting proactive management and optimized resource allocation.

IMPACT

  • Predictive analytics help forecast incident trends and resource needs, ensuring better preparedness and response strategies.
  • Real-time data visualization provide up-to-date information that supports quick and informed decisions during emergency responses, and forecasting have streamlined the operations, allowing for more effective management of personnel and equipment.

TOOLS

Mongo DB
Power BI

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