Digital twins have long demonstrated their value in mirroring specific physical assets, but what if we could use them to create comprehensive representations of entire organizations? In a recent Interface Magazine article, Ed Granger, VP of Product Innovation at Orbus Software, discusses how a digital twin of an organization (DTO) could unlock substantial business value when integrated into a broader enterprise strategy.
The evolution of digital twins: From assets to organizations
Traditionally, digital twins have been used to replicate physical assets like equipment or machinery, offering insights into operations and performance. But the concept is now evolving into something far more powerful – a DTO, which represents every aspect of an organization, from processes to systems, all in one dynamic model.
What is a DTO?
A DTO goes beyond isolated assets to create a living model of the entire enterprise. By connecting data from across the organization, a DTO provides real-time insights, helping businesses make informed decisions at every level, from strategy to operations.
AI and DTO: A perfect match
AI supercharges the potential of a DTO by enabling predictive analytics, automation, and smarter decision-making. When combined, AI and DTO allow organizations to anticipate issues, optimize processes, and align strategic goals with real-time operations.
Why build a DTO?
The value of a DTO lies in its ability to turn overwhelming data volumes into actionable insights. In an age of data explosion, DTOs provide a way to visualize, analyze, and act on complex information, helping organizations stay ahead of the competition.
DTOs and enterprise architecture
DTOs are more than just conceptual. They are a practical tool for enterprise architects to shift from reactive problem-solving to proactive value creation. As Ed puts it, “Suddenly, EAs can offer insight into matters as critical as a business’s revenue drivers and customer acquisition.”
Read the full article on Interface