Historically, most devices in bioprocessing and their respective software were treated as individual components. Any data exchange between those systems relied on manual transfers and often even time-consuming conversions between different data formats.
In order to fulfill the recommendations for modern bioprocessing, e.g., as defined by the PAT and QbD initiatives, these old-school methods become less feasible. A modern, automated approach is required that collects all data centrally in a standardized database acting as a bioprocess data warehouse. This not only reduces the overhead for data management, but enables the extraction of information from the data with ease.
Damian von Blarer, Infors-HT