Paolo Nencioni, formulation scientist, A. Menarini
These days, nearly every type of process equipment is able to collect a lot of data and then make it available for export for further analysis. This is especially true in R&D labs, where the equipment replicates the manufacturing process on a smaller scale and makes the analysis of data more useful to understand the process. However, many types of equipment use proprietary software, which can make it difficult to analyze data coming from different systems. Exporting all the data into JMP data tables makes analysis easier, especially when it is in a familiar interface. It can also help link results from different process steps, driving us (hopefully) to discover unsuspected relationships. Over the last few years, we have imported data from several pieces of lab equipment into JMP, from the most automated solution to the "do it yourself" ones. The result was always the same: better data exploration.
