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It Takes More than Math and Engineering to Hit the Bullseye with Data

Published on 2017-10-09827 Views

Adopting algorithmic decision-making in a large and complex enterprise such as a Fortune 50 retailer like Target takes much more than clean, reliable data and great data mining capabilities. Yet data

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