Visualization software PAS-X Savvy
data managementreportingdata analysis

visualization software
visualization software
visualization software
visualization software
Add to favorites
Compare this product
 

Characteristics

Function
data analysis, statistical analysis, visualization, reporting, data management
Applications
process, R&D, for pharmaceutical applications
Type
real-time, collaborative
Operating system
Windows
Deployment mode
cloud
Other characteristics
all-in-one

Description

Werum PAS-X Savvy: step up your bioprocess data management & analytics Accelerate your processes and connect your people across departments and sites. With our Werum PAS-X Savvy you can manage, visualize and analyze your bioprocess data fast, comprehensive and in real time. How about getting from development to commercial production in an agile, secure and robust way? Werum PAS-X, the leading collaborative data analytics platform from Körber, lets you exploit the hidden potential of your process data. Our solution offers an all-in-one approach in combining seamless data management, user-friendly data visualization, holistic data analysis and automatically generated reports in one collaborative analysis platform. With Werum PAS-X Savvy we address the full range of the production life cycle, such as bioprocess R&D, scale-up and tech transfer, validation and manufacturing. lKörber Pharma Austria GmbH successfully helped Boehringer Ingelheim RCV in their Process Characterization Study using innovative End-to-End process models. This led to an efficient and scientifically sound establishment of a control strategy including specification driven in-process-control limits for CQAs and CPP.r Boehringer Ingelheim Research Center Vienna

VIDEO

Catalogs

No catalogs are available for this product.

See all of Körber Pharma‘s catalogs
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.