The increasing digitization of the economy means that a new digital resource-a digital twin of an organization-is now feasible. We suggest five principles that assist in the construction of an organizational digital twin and show how they combine into a dynamic evolutionary process that builds and maintains the digital twin incrementally. We also discuss the organizational implications of implementing a digital twin and how digital twins create value in an organization.

The search for new business ideas--and models--is hit-or-miss at most firms. Tackling the problem systematically, of course, will improve your odds of success. Traditional ways of framing this search examine competencies, customer needs, and shifts in the landscape. This article proposes adding a new IT-based framework. It involves asking, How can data and analytic tools be used to create new value? The authors have explored that question with many clients. In their work, they've seen IT create new value in five patterns: using data from sensors in objects to improve offerings (think smart energy meters); digitizing physical assets (such as health records); combining data within and across industries (to, say, coordinate supply chains); trading data (as mobile providers do with information on users' whereabouts); and codifying best-in-class capabilities (such as online expense management) as services. Drawing on examples from their own experience and their clients', the authors walk readers through each of the five patterns and how to apply them. They also provide advice and questions that will help executives get started on their own searches.