AI in Public Administration - People Flows
Project phases
Challenge
The Granollers City Council had counting sensors distributed throughout the city: thousands of daily records on the flow of people, information with high potential value for security, commerce, mobility and events…
But there were clear limitations: the data was unstructured and difficult to interpret, as the analysis depended on technical profiles, resulting in a lack of context for comparisons and a lack of clear visualization.
The result obtained prevented the ability to anticipate and made it difficult to read trends.
Solution
The solution involved:
- Integrate data of heterogeneous sensors without modifying the infrastructure existing
- Guarantee security, sovereignty and governance at all times
- To offer a reading in near real time of the flows in the city.
- Democratize accessAny authorized profile can access information without expert knowledge.
- Avoiding "black boxes": answers explainable, coherent and based on real data.
- Prepare a solid foundation for advanced analysis and prediction future.
KPIS
- Results obtained:
- Integration, normalization, and visualization of data completed
- Production system for authorized personnel
- Significant reduction of technical complexity in information retrieval
- Improvement in the analysis of events, flows and operational planning
- Solid foundation for evolving towards advanced analytics
kawaru Consulting