Business intelligence tools translate data into information, and can be especially valuable in metallurgical plants. Indeed, a continuous stream of process data is often available, without conclusive information being led to all relevant personnel. Besides analyzing past behavior, real intelligence also requires the ability to make decisions, based on the prediction of expected performance. This can be achieved by integrating data management with process and flow sheet modelling. The use of models ensures a closed mass and energy balance, as well as explicit and calibratable assumptions. Furthermore, virtual instruments can be created, even in places where measurements are cumbersome or impossible. Thermodynamics have an important role in these process models, because of their predictive response to changes, even outside the normal operating window. Chemical equilibria, melting behavior, etc. are highly important to select optimal process settings, as well as to determine potential margins when treating new materials.