Big Data at Work


Big data can support smarter operations, but only when companies embrace the basics of understanding what it is they want to measure, how they want to measure, and how they can keep the data secure. This collection of articles from MIT Sloan Management Review examines how companies are forging new business processes with the use of data and analytics.

Special Collection includes:

  • Using data science to avoid global pricing chaos, by Andrea Marron
  • The big data problem that market research must fix, by Ken Faro and Elie Ohana
  • Seizing opportunity in data quality, by Thomas C. Redman
  • Variety, not volume, is driving big data initiatives, by Randy Bean
  • Duped by data, by Sam Ransbotham
  • The smart way to deal with messy data, by Sam Ransbotham

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