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

• Steve Lohr (2012). "The Age of Big Data." New York Times, Sunday Review, February 11.
• MIT-SMR How Big Data is Different
• IBM (2011), “The 2011 IBM Tech Trends Report: Tech Trends of today. Skills for tomorrow.”
• McKinsey Global Institute (2011), “Big Data: The next frontier for innovation, competition, and productivity.”

Academic Articles

• Chaudhuri, Surajit at al. (2011). “IBM (2011), “The 2011 IBM Tech Trends Report: Tech Trends of today. Skills for tomorrow.” Communication of the ACM, Vol. 54, No. 8, pp. 88-98.

Data Privacy and Ethics

• NASCIO (2004). Think Before You Dig: Privacy Implications of Data Mining & Aggregation.

Recommended Books

• Anderson, Chris (2006). The Long Tail: Why the Future of Business Is Selling Less of More. New York: Hyperion.
• 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).
• Barabasi, Albert-Laszlo (2010). BURSTS. New York: Penguin Group.
• Barabasi, Albert-Laszlo (2002). LINKED The New Science of Networks. Cambridge,MA: Perseus Publishing.