The integration of advanced data analytics and decision support systems represents a pivotal advancement in the modern health sector, adopting improved decision-making and operational efficiency. This study explores the transformative impact of business analytics techniques and data infrastructure within health organizations. Key findings include enhanced integration of diverse health data sources, optimized resource allocation through decision support systems (DSS), and improved health data. Challenges such as data quality and interoperability were addressed, emphasizing the need for continued innovation and ethical considerations in health sector data analytics. This research underscores the critical role of data-driven strategies in shaping the future of health sector delivery and management.