IDBS announces the introduction of additional data science capabilities to its Polar platform to speed BioPharma process optimization. Design of Experiments (DoE), Multivariate Analysis (MVA), and cell line genealogy are just a few of the advanced data analytics and visualization capabilities available in the upgraded Polar Insight package.
Accelerating the time to market for medications that can change people’s lives depends on having meaningful access to insights from process and quality data throughout the biopharmaceutical lifecycle. Nevertheless, poorly contextualized and segregated data that frequently need several tools and a high degree of knowledge in statistics and complicated analytics to analyze are a problem for scientists. This inhibits the development of insight that facilitates decision-making and hoards precious resources.
By offering integrated digital processes, removing data silos, and supplying a high-quality, contextualized data backbone, IDBS Polar helps people realize the value of their data. Polar Insight gives scientists direct access to insight from the complex data sets they produce, historical data, or data created by teams and filtered through Polar digital workflows and seamless equipment connections, making the process of understanding more effective.
According to Pietro Forgione, VP of Strategy at IDBS, “extracting meaningful information from process and quality data across the BioPharmaceutical lifecycle is usually a time-consuming and error-prone process.” In addition to the new Polar Insight data science capabilities, IDBS Polar replaces paper records, spreadsheets, and ad-hoc software tools with integrated digital processes that eliminate data purification bottlenecks and give scientists control over decision-enabling advanced analytics. In order to speed up process development, regulatory filings, and technology transfer, BioPharma businesses may effectively concentrate resources on these essential areas for quality and performance by decentralising access to process knowledge.
