This paper explores the integration of Business Intelligence (BI) and Internet of Things (IoT) analytics to drive sustainable resource management in urban environments. Rapid urbanization has led to increased pressure on natural resources, necessitating smarter, data-driven approaches to optimize their usage and reduce waste. By combining real-time IoT sensor data with advanced BI tools, city planners and policymakers can gain actionable insights to improve energy efficiency, water conservation, and waste management. The paper presents a framework for collecting, analyzing, and visualizing urban data to support sustainable development goals. Case studies demonstrate how data-driven solutions can enhance decision-making, promote environmental stewardship, and improve overall urban livability. Challenges related to data privacy, integration complexity, and scalability are also discussed, alongside future research directions for enhancing the sustainability of smart cities.