Role, Responsibility & Task of JMP TeamHI all,
For large customers, you may find that they have a dedicated JMP team internally.
I'd like to know Role, Responsibility & Task of JMP Team.
Korea's largest customer has two departments working on JMP.
Of course, the teams doesn't do just JMP-related work like a typical data science team.
One is the R&D data science team in the data science lab.
There are several teams in the data science lab, but since JMP is used the most in the R&D area in the case of that company,
that team is in charge of JMP-related work.
The team's main tasks related to JMP are data analysis using JMP, JMP customizing (script, add-in development, internal system interface), JMP-related internal consultant, internal JMP Tech support, etc.
The other team is the Digital competency team. The team is responsible for JMP training, data analysis capability enhancement using JMP, JMP contract, etc.
Anyway, I'd like to know to Role, Responsibility & Task of JMP team in another company (e.g. TELA account).
And also I hope that I could hear from you on Role, Responsibility & Task, organizational structure, etc. of the JMP team.
Thanks
Ikju
Re: Role, Responsibility & Task of JMP TeamHi Ikju,
I think it really depends on the company's organizational structure. Often cases there are silos and they have their own team experts they refer to. In accounts where this is different, they have as in yours a team operating more globally or at least for one country. They organize and deliver basic trainings, like for DOE, EDA or Regression in JMP. As you mentioned they often also act as point of contact when things become more complex, or if they are in trouble and need help.
Another focus of such groups is automation, providing scripts, applications, guides for others to have a standardized way to do certain things. THese scripts/add-ins/Applications then will be rolled out.
Most cases these are engineers who were more interested in data analytics than others. Sometimes there is a real data science team, but most of the time this is not the case. I also see teams where one or two from every department were put together to act more strategic in the roll-out of data analytics.
Guess not all waht you wanted to know, but a start 
May others could chime in ...
Re: Role, Responsibility & Task of JMP TeamHi Ikju,
You mention that the Data Science Lab is using JMP. Based on what I have experienced (others please weigh in) you are quite lucky to have a data science team that even considers JMP as a viable option. Most data scientists in the U.S. do not consider JMP as a viable option for one main reason and that is "big data". The consensus among data scientists here is that JMP cannot handle big data and is therefore not an option for their work.
A nice success story that we could share or at least learn from internally would be great. Would it be possible to let us know how the Data Science Lab is using JMP and where they have had success using JMP in conjunction with, or as opposed to tools like Python and R?
Best,
Bill
Re: Role, Responsibility & Task of JMP TeamHi Bill, I think the "internal use only" story about Rolls Royce Meg has written has some nice arguments on that. One was an internal challenge where JMP outperformed Python/R
