JMP
174 Case Studies
A JMP Case Study
AstraZeneca, the global pharmaceutical company, needed a faster way to compile and analyze huge volumes of drug discovery data, sometimes reaching a million rows. Its computational chemists used JMP to handle complex datasets and help identify molecules active against specific targets.
JMP provided AstraZeneca with powerful visualization, robust analytics, and direct access to multiple data sources in one tool. The result was faster, more efficient research, with scripting that cut repeat analyses from about an hour to a minute or less and helped AstraZeneca bring quality medicines to market more quickly.
Paula Kitts
Computational Chemist