Download PDF
Austin Fire Department uses QlikView to improve operations, performance, and service
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Cities & Municipalities
- Security & Public Safety
Applicable Functions
- Human Resources
- Logistics & Transportation
Use Cases
- Fleet Management
- Personnel Tracking & Monitoring
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Data Science Services
- System Integration
The Challenge
Austin Fire Department (AFD) was facing tough economic times and needed to identify ways to increase efficiency and effectiveness of operations in order to streamline spending and improve services. The department collected high-level annual performance measures, but daily operational data was spread across multiple divisions in different data sources. AFD lacked a useful tool for extracting or integrating it efficiently. The department began the search for a Business Intelligence (BI) solution.
About The Customer
Austin Fire Department (AFD) is a municipal fire department serving the City of Austin, Texas. The department has a proud history of serving the more than 750,000 residents of Austin, TX. The department, which responds to approximately 75,000 calls annually, holds as its mission to protect lives and property. The department is committed to improving its operations, performance, and service to the residents of Austin.
The Solution
AFD turned to QlikView after reading about the software in DM Review. QlikView’s next generation in-memory association technology made it a simple, fast, and affordable solution. Because QlikView doesn’t require a data warehouse, OLAP cubes, or other components of traditional BI systems, AFD deployed their pilot in 12 weeks. Using space on an existing server eliminated the need for expensive hardware. Users require little to no training and are able to answer “hmmm, what if…” queries without having to rebuild reports. AFD has more than 20 QlikView applications. Chief officers use it to track 911 calls and responses by jurisdiction, station, battalion, number of runs, and hour of day, day of week, and year.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Turning A Stadium Into A Smart Building
Honeywell created what it called the “intelligent system” for the National Stadium in Beijing, China, turning the venue for the opening and closing events at the 2008 Summer Olympics into a “smart building.” Designed by highly controversial artist Ai Weiwei, the “Bird’s Nest” remains one of the most impressive feats of stadium architecture in the world. The 250,000 square meter structure housed more than 100,000 athletes and spectators at a time. To accommodate such capacity, China turned to Honeywell’s EBI Integrated Building Management System to create an integrated “intelligent system” for improved building security, safety and energy efficiency.
.png)
Case Study
Smart Street Light Network (Copenhagen)
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
Case Study
China Mobile Smart Parking
Smart Parking, powered by NB-IoT technology, is making it easier for drivers to find free parking spots. Cities can better manage their parking assets and maximize the revenue available to them as a result. Drivers searching for parking create congestion and pollution by circling and hunting for available parking. Smart Parking services are able to significantly ease these problems by guiding a driver directly to a parking space.
Case Study
Barcelona Case Study
Barcelona’s heavy traffic and its associated high levels of pollution were the primary factors that motivated some companies and universities to work on strategies for improving traffic in the city centre. Bitcarrier is one of the technologies involved in the In4Mo Project, whose main objective is to develop the applications that form the core of smart mobility, one of the fundamental pillars of the smart city concept.
