A Bayesian analysis lets you see how the posterior varies as a function of the prior, instead of forcing you to pick a prior before you start.

The tighter the range of this function, the more confidence you have in the result.

You can never know anything if you absolutely refuse to have a prior, because that gives division by 0 in the posterior.