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Multidimensional Indicator Analysis Often without thinking about it, we all have a tendency employ uni-dimensional decision-making methods. That is, we too often examine only one or a few indicators that profile a decision-making event. The importance of multidimensional, integrated indicators cannot be overstated. Paradoxically, availability of multidimensional indicators can be constrained, under optimized, by our own information technology. The very tools that empower us also restrict us. Knowing the "what and where" of these constraints is a first step in overcoming them. Has insufficient attention been given to one factor versus another? How to we rank and select and choose between factors that influence our decision-making? Too often, a choice is made because we have available data; we do not "know about" something thought to be important so it is not considered. How do we adjust for this obvious deficiency. An key part of that process is to understand the holistic "behavioral structure" characterizing an event subject to the decision making process. A model is required that shows the interrelationships between variables whose behavior is determined within the structure and those whose behavior is determined outside the structure. We need to know what we do not know. By having a quantified model representing the "holistic behavioral structure," we are able to see which variables are key to the decision-making process. This helps determine which items/variables are the multidimensional indicators that are most important. By understanding what the list and definition of each of these variable are, helps us determine the scope and selection of analytical tools. We help organizations develop improved multidimensional indicator analysis capacities. Please contact me to discuss your situation. Warren Glimpse Proximity |
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