Technological advances in the probes and sensors used in pharmaceutical process development have meant that process chemists and engineers are managing more data than ever before. This deluge of data has led to “data paralysis”, where data management gets in the way of research. This is particularly true when combining analytical outputs with sensor and probe data since instruments are rarely able to directly share information. This means that scientists and engineers must develop workarounds to even analyze experimental results, leading to methods that are time-consuming and vulnerable to human error.
Join Mathew Mulhern (Principal Research Scientist, AbbVie) and Joe DiMartino (Luminata Solution Manager, ACD/Labs) as they discuss:
- How advances in sensor technology have led to a deluge of data
- Shortcomings of current workflows and visualization methods
- How a collaborative information management tool resolves “data paralysis”
- Demonstration of process and analytical data integration using Luminata