Highly specific skills and knowledge in data analytics are needed to support advances in manufacturing for the chemical and pharmaceutical manufacturing industries. The ever-expanding volume and diversity of data provides opportunities for data to become new knowledge. Such new knowledge is enabled by data analytics and can lead to greater process and system understanding.
This webinar with JMP’s Volker Kraft and Marcus O’Mahony of the Pharmaceutical Manufacturing Technology Centre (PMTC) explores the work of the PMTC and how it supports the development of such skills and knowledge in data analytics. In a recent collaboration with its industry partners, the PMTC developed a good practice guide to data analytics, which was the conclusion of over 400 hours of interaction with industry across focus groups, case study presentations and interviews.
A number of good practices in data management, data visualisation and model development are covered in this hour-long webinar.
During this webinar you will learn:
• How data analytics can be defined
• Why data-readiness is important
• How data visualisation can be used effectively
• A number of good practices which should be considered in model development
• About opportunities to collaborate with the PMTC and access the good practice guide
Speaker: Marcus O’Mahony, senior research fellow with the PMTC, University of Limerick
Speaker: Volker Kraft, JMP academic ambassador, Europe
Moderator: Benjamin Valsler, digital editor, Chemistry World
JMP has been a part of SAS since the first version of JMP statistical discovery software was launched in 1989, bringing interactive data visualization and analysis to the desktop. SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 60,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.