The Cali city government, responsible for risk management and emergency response, launched an initiative to reduce the impact of landslides in critical areas. The goal was to implement a predictive model using advanced technologies to enable early detection of high-risk zones and support more proactive interventions.

• The administration needed to analyze large volumes of urban data to better understand city dynamics and improve response capabilities.
• There was no centralized system in place to integrate and process geologic and meteorological data from multiple sources in near real-time.
• A cost-benefit analysis was needed to determine whether a cloud-based solution would be more viable than building an on-premise system.

• Significantly improved the city’s ability to anticipate and respond to landslide risks, reducing community impact.
• Enabled real-time decision-making based on predictive analytics.
• Promoted greater transparency and improved responsiveness to citizens’ needs.
• The TCO analysis validated the cost-efficiency and long-term scalability of AWS services for urban data management.