This paper argues US manufacturers still fail to identify metrics that predict performance results despite two decades of intensive investment in data-mining applications because indicators with the power to predict complex results must have high information content as well as a high impact on those results. Copyright © 2013 John Wiley & Sons, Ltd.
The False Promise of Big Data: Can Data Mining Replace Hypothesis-Driven Learning in the Identification of Predictive Performance Metrics?
by David Apgar | Sep 20, 2013 | GoalScreen