The utilization of both descriptive and predictive data-based approaches is key to understanding interrelations within the process chains and controlling them effectively supporting ecological and economical goals. Descriptive methods enable a cross-process understanding to evaluate the most important factors within the process chain. These parameters can then be used as levers for the prediction of the final quality parameters of the cell. An application example is the early declaration of scrap based on the product feature prediction and general process knowledge gained through descriptive methods . It can prevent the addition of further material onto an intermediate product that is not going to be able to provide a functioning product.