These use cases aim to illustrate how data-driven insights, powered by open data, can equip governments with the ability to quickly respond to challenges, improve efficiency, foster transparency and create more effective policies to benefit their citizens. It is expected that by reviewing these examples, public administrations at national, regional and local levels can be inspired to design and implement their own data-driven approaches.
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Data analytics use cases (30)
RSSNorway's tunnel incident detection system faced 90% false alarms due to outdated tech. To improve accuracy, Statens Vegvesen piloted a computer vision and machine learning solution in Trondheim's Skansentunnel. Read the case study to learn more.
The Helsinki Region unified efforts on open data, fostering transparency, innovation, and better public services by enhancing collaboration between its cities. Read the full case study.
Kielce enhanced smart city monitoring by creating an intuitive system that integrates spatial and statistical data, making it accessible and engaging for residents and officials. Read the full case study.
Brussels tackles e-waste with AI-powered recycling. Machine learning predicts item types, optimises recycling paths, and boosts resource recovery. Read the use case.
Statnett, the Norwegian electricity transmission system operator, faces significant challenges in maintaining the reliability of overhead power lines, as about 90% of all temporary failures are weather-related.
Finland is addressing the need to effectively monitor and improve public health outcomes across the country with their Health in All Policies (HiAP) approach. Read how in the use case study.
Brussels improves parking efficiency with open data, sharing real-time and detailed parking info. Interactive maps and reports help drivers and reduce congestion. Read the full case study.
Milan's Open Access Wi-Fi offers free connectivity, evolving to cover more areas. Usage analysis helps optimise networks, improve access, and address issues. Read the full case study.
Munich tackles traffic congestion with Mobilithek, a data-sharing platform offering real-time traffic insights, public transport data, and tools to optimise mobility. Read the full case study.
Flanders addresses water quality challenges with real-time monitoring using live sensors, Linked Data Event Streams, and machine learning to predict and manage issues. Read the full case study.