Why Visible: Decision?
You have a choice to make.
You want to reduce uncertainty and make a rational decision which stands up to scrutiny.
What can we do?
Clear definition of the decision problem in terms of the variables and observable consequences. Seeking of divergent options, estimation of uncertain variables, selection of decision analysis & measurement approach.
Descriptive & predictive mining of existing data and assessment of its value for making the decision.
Casting of the problem in a probablistic model, use of monte carlo or markov simulation to assess the information value of variables.
Application of decision analysis methods and tools such as decision trees, prediction and optimisation models.
Further reduction of uncertainty with a range of measurement methods including surveys and experiments.