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• Which dimensions to define or not?
• Where space to situate the criteria?
• How to define aggregating computations?

Chose Dimensions in Spaces

Main idea: dimensions are non-contingent features to the space required to situate a variable or a criterion in the problem.

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A ground-rule could be: dimensions are non-contingent features to the space required to situate a variable or a criterion in the problem.

The Granularity of Levers and Criteria

Main idea: when possible, situate levers and criteria in the same space, in other words, place them at the same level of granularity.

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Of course, in some cases, these three propositions may not be exactly the same from a domain point of view and there are often other considerations to weigh in when making this choice. This is the whole question of understanding the customer's needs.

Intermediate Variables

Main idea: large aggregating computations with lots of inputs and parameters should be avoided.

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