Digital transformation is unquestionably about data and, more generally, the technologies to generate, acquire, manage and exploit data. While data is a defining characteristic of digital transformation, data is not sufficient. Like other transformations through the ages, digital transformations succeed when they account for process and people. The design-thinker calls this "empathy." The lean startup entrepreneur calls this "customer development." The innovator might call this the "job-to-be-done." To help you envision the impact of digital transformation on your organization, we introduce the concept of "agency." A patient (or customer or researcher) experience is defined by the sequence of actions that input, output, or transform data. Digital transformation promises to redefine the experience by redefining the assignment of agency to action: Which agents or stakeholders perform which actions on data, and what is the new sequence order of those actions?
Slides: https://ucsf.box.com/s/t2164hvw8uts92hbl3bf15hauawd0h5r (MyAccess login required)
Thomas Y. Lee teaches and conducts research on information and communication technologies to support innovation and new product development. Specifically, he develops and applies text and sequence mining methods for analyzing user-generated content that reflect both what customers say and what they do. His goal is to discover and select opportunities for product and service innovation. Recent research has mined the text of online customer reviews to induce market structure and mined electronic medical records to redesign emergency department healthcare service processes. He was a data science fellow at frog Design and has taught with Cooper Design on the integration of data science and user experience design methods.
He holds Ph.D. and M.S. degrees from MIT's Engineering Systems Division and B.A. and B.S. degrees in Political Science and Symbolic Systems (Artificial Intelligence) from Stanford University.
He has served as a visiting scientist at the Computer Security Division of the National Institute of Standards and Technology, a research engineer at the MITRE Corporation, and as a contractor for DynCorp-Meridian supporting the Defense Advanced Research Projects Agency doing research on Internet privacy and security.
He currently teaches the core undergraduate course on decision modeling and an MBA elective on Design and Development of Web-based Products and Services at UC Berkeley's Haas School. As Director of Data Science for the Fisher Center for Business Analytics in UC Berkeley's Institute for Business Innovation, he is an architect of the Haas School's Business Analytics curriculum. Before Berkeley, he was Assistant Professor of Operations, Information and Decisions at the Wharton School of the University of Pennsylvania. He is a recipient of an Excellence in Teaching Award and the David W. Hauck Award for Excellence in Undergraduate Teaching, the highest award for undergraduate teaching at The Wharton School of the University of Pennsylvania