In this presentation Abbott Nutrition explains how they have used PI Data and analytics to improve asset utilization while maintaining or even improving product quality. In most processes, quality and productivity are inversely related, therefore improving both simultaneously is challenging. As an EA customer, Abbott Nutrition has acquired a wealth of data from all manufacturing assets and has been able to leverage high fidelity data to achieve and maintain goals. Manufacturing intelligence techniques are used to detect the operational state of key manufacturing assets. These asset states are then used to isolate PI Data for focused analytics to identify cause-effect relations for both quality and productivity. Key process parameters are then monitored, using accurate control limits which are continuously adjusted based on asset state and product requirements. Results include lower variability, reduced sampling and faster resolution times.