MiningSolve™: The Core Decision Support Tool that Undergirds Our Strategic Approach to Data Mining Automation.
Critique of the Traditional Approach to Data Mining
 
THE DATAMART STRUCTURE PROBLEM: In most environments, the datamart record structure is organized at the household or account level, not at the customer level. THE DATAMART COMPLEXITY PROBLEM: High performance predictive models typically end up using only 1-5 percent of the available datamart fields in the final model. How do we find the correct subset? THE PERMUTATION PROBLEM: (The needle in the haystack problem): While millions of models could be run to fully investigate the best solution…current manual methods produce less than several dozen per week. THE CONDITIONING PROBLEM: Invariably, any given model performs better with one segment than another (i.e. they are better conditioned to perform with some customers than with others). How can we arbitrate between all models to find the best prediction overall?

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