Bristol-Myers Squibb used a data-driven approach in its mission to discover and deliver innovative medicine. The company contextualized its data using the asset framework and event frames of AVEVA™ PI System™, allowing it to transition from static offline models to dynamic, real-time process monitoring. Using this advanced analytical approach, Bristol-Myers Squibb resolved batch latency issues and optimized process performance with real-time fault detection.
"All of this was built with out-of-the-box tools in the asset framework of [AVEVA PI System]."
—Matthew Morrow,
IT Business Partner at Bristol-Myers Squibb
Challenges
- Batch data latency and lack of data context hobble real-time processes
Solutions
- Deployed AVEVA PI System to collect, contextualize and deliver trustworthy, ready-to-consume data to facilitate multivariate analytics
Results
- Increased product quality, optimized process performance, and empowered operators with real-time fault detection
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