Predictive analytics is proving itself both powerful and perilous. Powerful, because advanced algorithms can take a near-unlimited number of factors into account, provide deep insights into variation, and scale to meet the needs of even the largest company.
Perilous, because bad data and hidden false assumptions can seriously mislead. Further, algorithms cannot (yet, anyway) tap intuition — the soft factors that are not data inputs, the tacit knowledge that experienced managers deploy every day, nor the creative genius of innovators.
Author: Thomas C. Redman