In manufacturing industries, a considerable amount of data is generated by the production systems. To extract the meaningful information from the data, statistical analyses are performed by different levels of specialized staff. Nevertheless, in the most cases, the reports are done manually, and they are static. JMP Live enables people to access the information directly from a web browser; it also includes dynamic features. Furthermore, it is easy to use even by people who are not digital natives or data literate.

To integrate JMP Live with an existing static report, there are two options: rewrite the script with JSL or reuse the previous Python script. In this case study, to save resources, we present the reuse of Python code to integrate with JMP Live because of its ease of integraton.

The previous static report was done manually on demand with Python, and the results were PDF reports sent via email. With the demand for analysis that's updated daily, JMP Live was chosen as a technical solution. To integrate the old code with JMP Live, the data is prepared using existing Python script, which writes data that's in a database that JMP Live can access anytime and update automatically.