Fortaleza City Hall Strategic Planning based on Data Analysis and Forecasting

• Élcio Batista Fortaleza City Hall
• Rossana M. C. Andrade UFC
• Ismayle S. Santos UFC / UECE
• Tales P. Nogueira UFC / UNILAB
• Pedro A. M. Oliveira UFC / IFMA
• Valéria Lelli UFC
• Victória T. Oliveira UFC

DOI: https://doi.org/10.5753/cibse.2024.28532

Abstract

This paper presents the Big Data Fortaleza platform, which uses Big Data and Machine Learning for providing data analysis and prediction. The platform aims to assist in the strategic planning of solutions for the sustainable urban development of Fortaleza, in line with the activities of the Fortaleza Planning Institute (IPLANFOR). The challenge initially addressed is Early Childhood, once intelligent data management can significantly contribute to decisionmaking aimed at improving child development. Several exploratory and predictive analyses have been conducted to address critical issues in this domain, identified through discussions with several stakeholders from Fortaleza City Hall.

References

Sánchez-Corcuera, R., Nuñez-Marcos, A., Sesma-Solance, J., Bilbao-Jayo, A., Mulero, R., Zulaika, U., Azkune, G., and Almeida, A. (2019). Smart cities survey: Technologies, application domains and challenges for the cities of the future. International Journal of Distributed Sensor Networks, 15(6):1550147719853984.

Saxena, M., Sowell, B., Alamgir, D., Bahadur, N., Bisht, B., Chandrachood, S., Keswani, C., Krishnamoorthy, G., Lee, A., Li, B., Mitchell, Z., Porwal, V., Chappidi, M. R., Ross, B., Sekiyama, N., Zaki, O., Zhang, L., and Shah, M. A. (2023). The story of AWS Glue. In VLDB 2023.