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Analytics has long been the core of the decision-making process in customer management. The technology, and its level of predictive
precision, has advanced significantly over the past 30 years as organizations have accumulated and taken advantage of vast amounts
of customer data, and moved from manually derived scorecards to developing sophisticated custom models. Yet, there’s always a need for
improvement—new conditions or objectives call for new ways to boostthe predictive power of analytics.
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