Foreword
In the era of Big Data, customers increasingly recognize the value that advanced analytics offers to differentiate their business. As a result, predictive models turn into critical business assets that can deliver huge benefits, but also require a more rigorous process for the operational deployment in order to generate such business value.
In this context, it is shocking to see that only a small percentage of predictive models are actually deployed and that deployment often takes several months. Organizations face a wide range of business requirements, a host of operational IT solutions and data warehouse platforms, plus a rapidly growing set of data mining tools. For an organization to truly take advantage of the opportunities that ...
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