Predictive Financial Optimization through Big Data Analytics in Uzbekistan's Banks

This study examines the impact of Big Data Analytics (BDA) on improving predictive financial optimization and sustainability in Uzbekistan's banking industry. This research examines the contribution of combining green supply chain management (GSCM) methods, green human resource management (GHRM), and sustainable data management to enhanced financial and environmental performance. Data was gathered via a structured survey targeting bank workers with experience in BDA-driven projects across multiple Uzbek institutions. Research indicates that banks utilizing Big Data Analytics experience significant enhancements in operational efficiency, prediction accuracy, and environmental stewardship. Critical findings reveal that the integration of Big Data, environmentally sustainable innovation approaches, and a robust dedication to sustainable development jointly enhance performance outcomes. Furthermore, GHRM practices are essential in providing employees with sustainable finance methods. The findings support a comprehensive policy framework that integrates Big Data Analytics into fundamental banking operations, strengthening Uzbekistan's dedication to financial sustainability and enhanced performance.