The analysis and further the reorganization of an order-production is a typical scope of application of a value stream mapping. Value stream mapping is a lean-management method to map the current state of a series of processes that are necessary to manufacture a product or provide a service. The ever-increasing digitalization emphasizes the importance of the information flow. Besides the material flow, the information flow is the second focus of value stream mapping. It is needed to get valuable insights into the production process by applying state-of-the-art data analytics methods. Process Mining is a possible method to analyse (business) process and process sequences based on event logs. This paper illustrates a method of combining conventional value stream mapping and Process Mining. While value stream mapping shows the material and information flow as the people think it is, Process Mining shows how they are, based on the data fingerprint. The comparison of the two outcomes allows conclusions for the following value stream design with a special focus on the use of data for Industry 4.0 applications. The application of both methods to an order-production enables to present results and compare both as well as present advantages and disadvantages.