What is the best software for sensitivity analysis?
There are several great options for sensitivity analysis, including @Risk, Crystal Ball, and MATLAB. Each has its strengths depending on your needs.
Can you explain the features of @Risk?
@Risk is a powerful tool that integrates with Excel, allowing you to perform Monte Carlo simulations and visualize risk analysis easily.
How does Crystal Ball compare to @Risk?
Crystal Ball also integrates with Excel and offers similar features, but it has a more user-friendly interface and is often preferred for its visualization capabilities.
Is there any free software available for sensitivity analysis?
Yes, there are free options like OpenSolver and Python libraries such as SALib that can be used for sensitivity analysis.
Which software would you recommend for beginners?
For beginners, I recommend starting with @Risk due to its intuitive interface and extensive tutorials available online.
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