A Quantitative Assessment of Cloud-Based Enterprise GIS Platforms for Scalable Asset Management in Public Water Utilities

Abstract

This study presented a quantitative assessment of cloud-based enterprise Geographic Information System (GIS) platforms for scalable asset management in public water utilities, with a focus on evaluating system performance, scalability, and operational efficiency in comparison to traditional on-premises systems. A cross-sectional analytical design was adopted, incorporating system benchmarking and statistical evaluation using datasets derived from multiple GIS platforms and infrastructure environments. The analysis included key performance indicators such as response time, throughput, system uptime, concurrent user capacity, and data processing efficiency. Descriptive statistics revealed that the average response time across all systems was 1.82 seconds, while throughput averaged 320 transactions per second, with cloud-based platforms demonstrating significantly better performance. Comparative results showed that cloud-based systems reduced response time by approximately 34% and increased throughput by 51% compared to traditional systems, while maintaining higher uptime levels (99.1% vs. 98.0%). Inferential statistical analysis confirmed these differences as significant, with ANOVA results indicating strong variation across deployment models (p < 0.001) and effect sizes ranging from moderate to large (Cohen’s d between 0.54 and 0.95). Regression analysis further demonstrated a strong positive relationship between cloud deployment and system efficiency (β = 0.68, p < 0.001). Subgroup analysis revealed that performance improvements were more pronounced in large-scale systems handling data volumes exceeding 4 terabytes, where throughput increased to 420 transactions per second and response time decreased to 1.30 seconds in cloud environments. Correlation results also indicated that system integration levels were strongly associated with improved performance (r = 0.72, p < 0.001). Overall, the findings confirmed that cloud-based enterprise GIS platforms provided superior scalability, efficiency, and reliability, particularly in high-demand and data-intensive operational settings. The study contributed empirical evidence supporting the adoption of cloud-based GIS solutions for modern infrastructure management, highlighting their capacity to enhance performance and support complex asset management requirements in public water utilities.