It’s a curious pattern, that when new technologies arise and enable access to new forms of data, it is often not the domain experts who drive innovation, but those with deep technical expertise who pick up the required domain knowledge along the way. In other words, it can be a costly mistake to ignore new methods. Let me illustrate this pattern with three examples, before making the connection to "big data."
Wolfgang Gatterbauer is an Assistant Professor in the Tepper School of Business and, by courtesy, in the Computer Science Department of Carnegie Mellon University. His current research focuses on scalable approaches to performing inference over uncertain data, and is supported by a Career award from the National Science Foundation. Prior to joining CMU, he was a Post-Doc in the Database group at University of Washington. In earlier times, he won a Bronze medal at the International Physics Olympiad, worked in the steam turbine development department of ABB Alstom Power, and in the German office of McKinsey & Company.