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CEO and founder of analytics software company SAS, was a student there and taught there, and he generously

Thomas H. Davenport • Keeping Up with the Quants: Your Guide to Understanding and Using Analytics

Competing on Analytics: Updated, with a New Introduction: The New Science of Winning

Jeanne G. Harris

amazon.com

Cover of Competing on Analytics: Updated, with a New Introduction: The New Science of Winning

Behavioral inefficiencies may be at once the most persistent source of opportunity and the most difficult to capture

Michael Mauboussin • Who Is On the Other Side?

Bio — Jo Lepore

jolepore.com

but to learn from consumers about their behaviors and preferences.

Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

His background included research determining which medical treatment will provide the best outcome for each patient, and which price will provide the best profit from each retail customer. At

Eric Siegel • Predictive Analytics

Marketers must quantify the value of products, customers, and distribution channels––all under various pricing and promotional scenarios.

Neil Bendle • Marketing Metrics: The Definitive Guide to Measuring Marketing Performance

As we rely on same agents trained on overlapping data, we will see the emergence of an efficient market theory of venture capital—a troubling prospect for an industry built on information asymmetry.

Lawrence Lundy-Bryan • data-driven VC is over

Dr. Moshe Milevsky, a professor who’s involved with the Quantitative Wealth Management Analytics Group (QWeMA). They’ve developed a retirement income analysis tool based on something they call Product Allocation for Retirement Income (PrARI®) algorithmic methods.