Case Study: Bristol-Myers Squibb Improves Chromatography and Batch Comparisons Using Data and Analytics – Part 2

Challenge: Data volumes are increasing rapidly and this will only continue. The ability to find and make sense of the data to obtain intelligence to improve process outcomes is more important than ever. In this ARC Insight, it discusses how Bristol-Myers Squibb leverages its PI System data infrastructure and Seeq’s advanced self-service application deployed on AWS to measure chromatography homogeneity and compare data for batches to improve scale-up to manufacturing, product quality, throughput, and production efficiencies.