On the question of "what are other ways of doing MC analysis", there are two approaches.
The first is to use Excel apps like Oracle Crystal Ball or @Risk. These are aimed at business analysists. They're pretty expensive, but also quite powerful.
The other option is to use probabilistic programming languages. Stan and PYMC3 are probably the best now, but hopefully, some others will become much better in the next few years.
That said, this is a pretty small space. The main "business competitor" is probably people just using google sheets or Excel without distributions to make models.
The first is to use Excel apps like Oracle Crystal Ball or @Risk. These are aimed at business analysists. They're pretty expensive, but also quite powerful.
The other option is to use probabilistic programming languages. Stan and PYMC3 are probably the best now, but hopefully, some others will become much better in the next few years.
That said, this is a pretty small space. The main "business competitor" is probably people just using google sheets or Excel without distributions to make models.
Crystall Ball: https://www.oracle.com/applications/crystalball/ @Risk: https://www.palisade.com/risk/default.asp Stan: https://mc-stan.org/ PYMC3: https://docs.pymc.io