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The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional businessanalytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.
How effectively and efficiently an organization can conduct dataanalytics is determined by its datastrategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.
Decades (at least) of businessanalytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptiveanalytics for business forecasting and optimization, respectively. How do predictive and prescriptiveanalytics fit into this statistical framework?
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