Here are some thoughts, 🏵️🏵️👇

Generating synthetic data through Monte Carlo simulation can help overcome issues associated with missing data or small datasets.
Monte Carlo methods can simulate thousands or millions of data points that maintain the statistical characteristics of the original dataset.

Monte Carlo simulation can be used to model complex systems that are difficult to solve analytically.
For example, Monte Carlo methods can be used to simulate the behavior of financial markets, optimize supply chains, or improve the design of engineering systems.