It Takes More than Math and Engineering to Hit the Bullseye with Data
Published on Oct 09, 2017820 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