Digital Twin of a Digital World: Process, Data, and Experience Perspectives
Suraj G. Jadhav, Surendra Sarnikar
Abstract
Digital twin of the digital world (DTDW) can be defined as a virtual replica with people, process, data, and technology interacting to produce a business outcome in an enterprise. Individual technologies in big data, cloud computing, analytics, artificial intelligence, and simulation are making rapid progress and are being adopted by enterprises at various stages of technological maturity. Instead of looking in silos, we propose an integrated framework for convergence of individual technologies to create a DTDW for monitoring, automation, prediction, and optimization of business processes. In this article, we introduce the concept of DTDW, summarize our proposed building blocks of process mining, experience mining, data mining, and simulation, and showcase a DTDW application in a financial services business process.