Manufacturing organizations are evolving toward more environmentally friendly and socially responsible practices. These range from product design to manufacturing to consumption. This shift is necessary to address the urgent challenges of climate change and resource depletion. At the same time, it enables the creation of a more sustainable future for generations to come. Digital technologies like IoT, AI/ML, digital twins, and 3D printing improve resource efficiency and support sustainable supply chain management. They do this by enabling better management of energy consumption, more detailed and accurate lifecycle assessments, and optimization of sustainable product design. In this session, we'll share practical approaches to using data-driven decision making. The process begins with collecting, analyzing and processing vast amounts of data from different stages of the manufacturing value chain. The aim is to enable real-time decision-making that drives reductions in waste, energy consumption and emissions, improving resource efficiency and product quality.