Biotech companies face the challenge of dealing with ever-increasing amounts of data. Additionally, much of this data is unstructured and unmanaged. To meet this challenge, large storage capacities are required. A change in the software and hardware environment is unavoidable in order to keep the collected data on a sustainable basis and, furthermore, to process it in a structured manner. The core business of data analysis and value generation must therefore be accompanied by flexible, continuous, and stable processes that enable simultaneous data interpretation and evaluation.