For Best Predictive Analytics Results: Don’t Move the Data

In the Days of Data Mining Before the dawn of time, when predictive analytics was called “data mining” or “machine learning”, it was typical that the data required to train and build predictive models was moved to a new data store that was friendly to the predictive analytics tool.

A score or a model eventually popped out and they were moved to the production database. These were ancient times (the 1990s and early 2000s) when the data was brought to the predictive analytics tools. Today however, we have the opportunity to run our predictive analytics tools on the data without having to move it.

Author: Stephen J. Smith


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