Dear Sir,
Can we use Root for Insurance Data analytics or ONLY for physical experiments only .
We have huge data of insurance sectoral data and we are looking similar to root ,
Please guide for high performance
Thanks
Dear Sir,
Can we use Root for Insurance Data analytics or ONLY for physical experiments only .
We have huge data of insurance sectoral data and we are looking similar to root ,
Please guide for high performance
Thanks
Hi,
Welcome to the ROOT forum!
Yes, you’re very welcome to use ROOT in any context you see fit. ROOT is for instance used in finance - and I bet insurance data is highly structured, highly repetitive, too - this sounds like a perfect fit to me! ROOT is open source: you can just download and run it, and even modify it to your needs.
Don’t hesitate to contact us / ask questions here should you have any!
(FYI, I’ve moved this question out of the original topic as I didn’t see the connection to Docker images.)
Cheers, Axel.
Pvssrikanth,
you can most certainly use ROOT to process Insurance data. I used ROOT for years on telecom data, using c++ programs to read data files and create and output ROOT plots.
These days there are many data analysts that are using R + some programming language in the same manner, so that might be another option to look at.
Ken
Please remove me from this thread.
Evan
Please remove me too.
Thanks.