Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Skyland Analytics Announces New Version of Its Leading Process Information Management Software

Skyland PIMS® v4.0 helps life science companies centralize and analyze drug process and product data across teams, sites and partners

Skyland Analytics, the leader in cloud-based data analytics and data management solutions for the life science industry, announced the latest release of its Skyland PIMS process information management and data collaboration platform. Version 4.0 delivers advanced functionality for drug developers and manufacturers seeking to improve product quality with more accurate estimates of product shelf life and improved management of raw material quality. It also expands capabilities to analyze high frequency data from digital sources such as historians.

Recommended AI News: Hivestack Appoints Former Samsung Ad Tech Industry Veteran Vlad Stesin As Board Member

“The new 4.0 modules and feature enhancements strengthen Skyland PIMS’ position as the single source of truth for analyzing and sharing critical product, process and patient data across the supply chain.” said Joe Ruth, Skyland’s Chief Software Architect. “PIMS makes it easy to cohere data from digital sources with data from paper records as well as manually-entered data and analyze product quality down to the raw material and patient sample layers.”

Related Posts
1 of 40,598

New modules and features include:

  • PIMS Stability™ which reduces the time spent by staff in manufacturing, finance, capacity planning and supply chain operations gathering data manually for analysis to support product expiration dates.
  • PIMS Raw Materials™ streamlines management of ingredients and raw materials data for analysis of quality and correlations to product outcomes.
  • Genealogy visualization allows users to view and analyze complex material batch data relationships throughout the manufacturing process.
  • High frequency data management enables contextualization and analysis of data from historians (e.g. OSI PI) for more efficient process monitoring and deviation investigations.

Recommended AI News: Professor Carlos Henrique DE Brito Cruz Appointed Senior Vice President, Elsevier Research Networks

Skyland PIMS is uniquely designed to act as the process and product data platform for clinical and commercial stage life science companies. PIMS™ establishes a digital data spine early in the product life cycle which drives higher data integrity and drug product quality while accelerating tech transfer and commercialization.

Recommended AI News: Dimensity 5G Chipset Unveiled for First MediaTek Powered 5G Smartphone in the United States

Comments are closed, but trackbacks and pingbacks are open.