Recommended Readings for Business Intelligence and Analytics

The following articles and books are recommended background for anyone wishing to pursue a career in data analytics.

Professional Press

Academic Articles

Data Privacy and Ethics

Recommended Books

  • Anderson, Chris (2006). The Long Tail: Why the Future of Business Is Selling Less of More. New York: Hyperion.
  • Barabasi, Albert-Laszlo (2010). BURSTS. New York: Penguin Group.
  • Barabasi, Albert-Laszlo (2002). LINKED The New Science of Networks. Cambridge,MA: Perseus Publishing.
  • Brynjolfsson, Erik and Andrew McAfee (2015), The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies, Ney York: W. W. Norton & Company.
  • Davenport, Thomas H.,Jeanne G. Harris and Robert Morison (2010). Analytics at Work: Smarter Decisions, Better Results. Boston MA: Harvard Business School Publishing.
  • Davenport, Thomas H. and Jeanne G. Harris (2007). Competing on Analytics: The New Science of Winning. Boston MA: Harvard Business School Publishing.
  • Easley, David and Jon Kleinberg (2010) Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press (2010).
  • Siegel, Eric (2013). “Predictive Analytics: The Power to Predict who will Click, Buy, Die or Lie.” John Wiley & Sons,Inc.
  • Van der Aalst, Wil (2014) “Process Mining: Discovery, Conformance and Enhancement of Business Processes.“ Springer-Verlag.
  • You, J., I. Wang, Y. Huang, I. Gao and F. Cao (2015) Data Science Interviews Exposed,