Digitalization empowers pharmaceutical companies to bring therapies to patients faster by using advanced analytics strategies to profitably optimize manufacturing operations. In the pharmaceutical industry, operational issues from efficiency losses to failed batches can delay delivery of potentially lifesaving therapies to patients. For this and other reasons, pharmaceutical organizations require resources dedicated to batch prediction, planning…

Here’s how self-service analytics increases process engineers’ control over vaccine production and quality. This scientific, engineering and logistical achievement that is the COVID-19 vaccine is a feat unparalleled. It’s the perfect example of human ingenuity and how modern advancements can make a difference. A lot of credit, however, has to go to the rise of…

Some pharma companies spend millions of dollars on advanced analytics, business intelligence platforms and cloud storage and end up with little to show for it.   The uncertain financial climate should provide an opportunity for pharma companies to reevaluate how they market their products using business intelligence platforms and advanced analytics.  The pharmaceutical sector has traditionally…

Transitioning from traditional batch to continuous manufacturing provides greater throughput, but it requires near real-time data analysis to proactively address potential problems. Continuous manufacturing (CM) is gaining popularity in the pharmaceutical industry because it represents an improved approach for small molecule drug product development compared to traditional batch manufacturing methods. CM allows for the production…