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  • Winter 2017
  • Article
  • MIT Sloan Management Review

Why Big Data Isn't Enough

By: Sen Chai and Willy C. Shih
  • Format:Print
  • | Pages:5
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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; Data and Data Sets; 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.

About The Author

Willy C. Shih

Technology and Operations Management
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