Publications
Publications
- Winter 2017
- MIT Sloan Management Review
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
Abstract
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and potentially risky. This article argues that researchers need to pay close attention to issues such as biases in data collection and spurious correlation.
Keywords
Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Citation
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.