In biopharma manufacturing, there is a fine line between being data rich and information poor. Sites are filled with disparate systems, increasing the potential for siloed data. But since data is so key, biopharma companies must find better ways to mine that data and use it to improve manufacturing processes and achieve data infrastructure excellence. Which side of the line a company lands on largely comes down to data infrastructure excellence – mastering how data is collected, stored and leveraged to drive meaningful change. Many are looking at data historian technology to deliver multiple-system and cross-site data collection, storage and analysis to drive business innovation and efficiencies.
data across a variety of different fronts and, so this data must be managed effectively in order to unlock business efficiencies and drive improvements.
