Although organizations put considerable emphasis, investment, and resources into the model development stage of the analytics life cycle, operationalizing the model is often overlooked. That can lead to project failure or increase the amount of time needed to deploy a model.
Research indicates organizations that scale their modeling efforts stand to benefit greatly. They are measuring top- and bottom-line impact from their efforts, and are more satisfied with their analytics in general. Gain insights from "Operationalizing Analytics for Business Value" and learn how operationalizing analytics models is a way of taking action and gaining value.
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