Competitive Intelligence for Sustainable Water Governance: A Data–Intelligence–Decision Framework for SDG 6

Purpose. Ensuring clean water and adequate sanitation remains a critical global challenge. This study aims to analyse modern water supply and sanitation technologies and assess their effectiveness and potential for integration into global water management systems. Methodology/approach. The research is based on a comprehensive analysis of scientific literature, international reports, statistical data, and case studies of technology implementation across different countries. Comparative and systemic approaches were used to evaluate technological efficiency and scalability. Originality/Relevance. The study provides a systematic overview of innovative water management technologies in the context of sustainable development. Its relevance lies in identifying practical pathways for achieving universal access to safe water. Key findings. The results show that digitalisation, the Internet of Things (IoT), artificial intelligence, biofiltration, and membrane technologies significantly enhance water management efficiency. The adoption of circular economy principles, particularly wastewater reuse, reduces pressure on natural water resources. However, key barriers include high implementation costs, limited financial resources, and unequal access to innovation. Theoretical/methodological contributions. The study contributes to the development of an integrated framework for evaluating water technologies and offers methodological insights into combining technological, economic, and sustainability perspectives in water resource management.