Software as a service, cloud computing and predictive analytics are examples of new phenomena that can have a profound impact on the pervasiveness and accessibility of organizational decision making. The power of propensity scoring based on historic data delivered as a service via cloud computing heralds the availability of capabilities that previously required teams of quantitative specialist to deliver. This paper outlines the development of a predictive analytics cloud service for customer retention and attempts to position the outcomes of this implementation in the context of decision support, knowledge management and work practice evolution.
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