Advanced analytics can be used to gain comprehensive insights into real-time production processes. They are commonly subdivided into predictive and prescriptive analytics. While previously descriptive analytics only reflected current states of machinery, predictive analytics enables statements about the future. Going one step further, prescriptive analytics cover automated recommendations for action based on these predictions. On the one hand, humans as central stakeholders in production shall benefit from the information gained through advanced analytics to make better decisions. On the other hand, predictive and prescriptive analytics dashboards contain additional information and may potentially overwhelm human decision-makers in contrast to descriptive dashboards. In this study, we investigate the perception of human end users on information presented in descriptive, predictive, and prescriptive dashboards and investigate their cognitive absorption and task load. Our results show that more advanced predictive and prescriptive dashboards increase mental demand rather than lowering intellectual requirements. However, we found that prescriptive dashboards reduce user frustration by making decision alternatives and consequences more tangible.