Cloud-Based Environmental Risk Dashboards For Strategic Decision Support In Sustainable Enterprises

Abstract

Climate-related risks are rapidly increasing, and sustainability is becoming a part of the corporate strategy, which is why the assessment and mitigation of environmental risks are increasingly being based on real-time data. The given paper suggests a cloud-based environmental risk dashboard (ERD) architecture that incorporates information provided by IoT-based sensors, satellite networks, and regulatory databases into a single strategic decision support platform. The dashboard uses scalable cloud infrastructure, machine learning models and predictive analytics to track air and water quality, carbon emissions, deforestation indicators, and industrial pollution levels in real time. The system gives actionable insights using stochastic modeling and temporal-spatial data fusion methods with integrated early warning alerts and sustainability scores. Case studies in agriculture, manufacturing and logistics show 32-47 percent increase in risk identification and 25 percent decrease in regulatory and non-compliance events when the proposed system is used as compared to legacy monitoring systems. The paper also tests the performance of the dashboard with variable data loads and policy stress scenarios with Monte Carlo simulations. The findings show that cloud-based ERDs have the potential to not only increase the operational sustainability but also to increase long term strategic planning by aligning enterprise KPIs with environmental goals. The study brings in an innovative decision-supporting tool that harmonizes cloud computing, environmental modeling, and sustainable governance.