A major benefit of decision analysis is making the decision making process more transparent in terms of the factors considered, the ranges of data used and the preferences (e.g. risk tolerance) of the decision makers. For example, when there is disagreement on data associated with a variable, then this can be accommodated by making the probability ranges wide enough to encompass the differences and then you can see whether it really matters or not to the final decision. If it does, then you need to spend more time decomposing the sources of the disagreement and finding out the reasons. It is the insights gained from the decision analysis process itself that are often most useful for making better decisions.