An important benefit of the collected and transmitted data is the option to analyze them. In the easiest case, links generate alarms and alerts. Larger amounts of data provide a significant added-value in terms of preparation, aggregation and representation. While Data Analytics is the process of analyzing values of the past, forecasts will have a much larger influence in future. Systems of the Fraunhofer Energy Alliance predict energy demands via model-based methods depending on season, weekday, time and other relevant parameters like meteorological constraints. The same is also true for Condition Monitoring. In this approach, operating data are collected in order to identify a significant change which is indicative of a developing fault.