This IDC study explores the impact of the use of technology to develop digital twins for assets and processes within operational settings such as factories, oil rigs, utility grids, and mines. As enterprises struggle to gain value from the explosion of operational data to support actions and decision making, digital twins for operations offer a promising solution. The key to digital twin success is providing an architecture and analytics workbench to enable industrial data science by operations personnel as well as enterprise data scientists. Today, it is not only connected assets that are contributing to the data explosion, connected worker technologies, spatial analysis, and other technologies all provide insight into the physical world but often lack the broader context.
"Digital twins offer a scalable and consistent approach to delivering the agile, market-responsive, self-orchestrating operation of the future through resilient and data-driven decision making. Data and analytical models are evolving to be optimized for physical assets and processes — digital twin models are well suited to meeting the unique needs of these physical world analyses," says Jonathan Lang, research manager, IDC's Worldwide IT/OT Convergence Strategies.