By Janice Abel
With all the hype surrounding the Industrial Internet of Things, cloud, and digital transformation, it still comes down to data; connecting the sensors, systems, and applications that generate, store, find, and use the data to obtain operational intelligence. Data volumes are increasing rapidly and this will continue. The ability to find and make sense of the data to obtain intelligence to improve process outcomes is more important than ever.
For clinical or commercial scale manufacturing in the pharmaceutical and biotech industries, just finding the right data to analyze can consume significantly more time than it does to perform the analysis. Having the right applications to store and contextualize the data is imperative, but being able to obtain business value by accessing and interpreting it quickly and effectively can have a huge impact on decision-making and, ultimately, the business’s bottom line.
This insight is the second part of a two-part series on how Bristol-Myers Squibb (BMS) leverages the OSIsoft PI System data infrastructure and Seeq to find, compare, and analyze data for batch processes and scale up to improve the company’s production efficiencies.