INTERACTIVE DASHBOARDS FOR PUBLIC SAFETY
This article presents the implementation of a Business Intelligence (BI) system within the Training and Psychosocial Support Division (GFAP) of the Municipal Department of Urban Security in Vitória, Brazil. The objective is to enhance data collection, analysis, and management. The research identified inefficiencies in previous methods, which relied on manual records, unstructured spreadsheets, and scattered data across e-mails. The methodology involved analyzing these practices and developing an interactive dashboard using Google Looker Studio to consolidate information and provide real-time metrics. The system was structured to meet the needs of different management levels, offering an integrated view of activities such as community awareness campaigns, psychosocial support services, and emergency monitoring. The results indicated substantial improvements in administrative efficiency, supporting more evidence-based decision-making, pattern recognition, trend analysis, and better resource allocation. Additionally, the tool improved transparency, collaboration among teams, and the responsiveness of the division. The study concludes that implementing BI modernized GFAP’s internal processes and highlighted the potential of technology to improve public management. It recommends expanding the solution to other municipal departments and incorporating complementary technologies, such as predictive analytics, to maximize positive impacts on public safety planning and management.
Authors
- Daniela da Gama e Silva Volpe Moreira de Moraes
- Guilherme Guilhermino Neto
- Rogério Homem da Costa (ORCID: https://orcid.org/0000-0002-3459-7920)
- Tiago José Menezes Gonçalves (ORCID: https://orcid.org/0000-0001-5334-4104)
Institutions
- International Foundation for Electoral Systems (US)
- Prefeitura Municipal de Vitória (BR)
- Instituto Federal do Espírito Santo (BR)
Publication Details
- Journal
- RINTERPAP - Revista Interdisciplinar de Pesquisas Aplicadas
- Published
- 2025-07-24
- DOI
- https://doi.org/10.47682/2675-6552.v1i1.106
- Citations
- 1
- Primary Topic
- Occupational Health and Safety Research
- Type
- article
- Field-Weighted Citation Impact
- 1.54