Pareto analysis is a statistical technique in decision making that is used for selection of a limited number of tasks that produce significant overall effect. It uses the the Pareto principle (also known as the 80-20 rule, the law of the vital few and the principle of factor sparsity) states that for many phenomena, 80% of the consequences stem from 20% of the causes.
The idea has rule-of-thumb application in many places, but it is commonly misused. For example, it is a misuse to state that a solution to a problem "fits the 80-20 rule" just because it fits 80% of the cases; it must be implied that this solution requires only 20% of the resources needed to solve all cases.
As a result pareto analysis is a formal technique useful where many possible courses of action are competing for your attention. Basically, it consists of estimating the benefit delivered by each action with subsequent selection of a number of the most effective actions that deliver the total benefit reasonably close to the maximal possible one.
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