In industries that depend on bioprocessing, achieving the highest possible yields in the shortest time frame, while keeping costs down and product quality high is often challenging. Meeting these goals requires having a well-designed, well-defined and well-controlled process. And at the core of any effective process control is a set of effective process modeling tools.
Speed and changing market conditions are significant challenges for businesses across many industries and markets. The need for improved efficiency, the ability to adapt to changing market conditions and digitalization are often key drivers of change. By focusing on data, a company can make significant improvements in processes or systems, and gain insights into the driving forces behind business operations. Data analytics is the key to business optimization.
The natural variability of botanical material often makes it difficult to ensure a consistent quality process for pharmaceuticals made from plant-based products. In addition, botanical drug products (BDPs) are often produced using a series of separate batch processes, which adds even more variability into the manufacturing process.
Could data analytics aid in the diagnosis of severe neurological diseases? In a recent study, a research group at Umeå University has conducted statistical data analysis of biomarkers from patients suffering from Amyotrophic lateral sclerosis (ALS, also known as Lou Gehrig’s disease) and Parkinson’s disease to investigate whether data analytics could help in the diagnosis of – and help distinguish between – the two diseases.
In a previous blog post we discussed how SIMCA-online can help you make complex data simple and ensure that you get maximum value from your data.
In this blog post we will introduce a number of benefits of the newly released versions of SIMCA 15 and SIMCA-online 15. To mention just a few things, you get a much improved ability to model and control complete processes, including processes with a very high complexity. You also get a much better connection between SIMCA and SIMCA-online so that information can flow in both ways.
Producing and distributing raw materials and foodstuffs with a low profit margin is a challenging business. One major supplier has made significant gains through applying multivariate data analysis (MVDA) to their manufacturing processes and logistics.
Attending IFPAC 2017? Come to booth #407 to see how augmented reality and data analytics work hand-in-hand. Using Microsoft Hololens technology, Sartorius Stedim Data Analytics is making groundbreaking innovation which we will showcase and demo at IFPAC 2017. Get a personal demo, and see, among other interesting use cases, how multidimensional design spaces can be visualized as a hologram using augmented reality.