December 15, 2022

Does a Digital Twin Improve Enterprise Operations?

by Dawn Slusher

Enterprise networks and the organizations that support them are more complex than ever.  With an abundance of task-specific devices and issue-specific tools, it’s become nearly impossible to understand the true state of network topology and behavior.  

There is no single person, technology, or circumstance to blame for the current state of affairs. For decades, enterprise networks have grown organically. They evolved to support new challenges as the business expanded, acquired, and offered new products. Public clouds, IoT, Zero Trust, and edge computing further complicate network operations and management.

As organizations struggled to understand their network, they added new tools and departments, each with specific remits. While this helps address particular issues or concerns, the lack of data portability and transmissibility between tools and teams has made it harder than ever to ensure the network is constantly in policy and behaving as intended. 

A digital twin creates a single source of truth that all teams within the organization can consult to prevent and resolve issues. How might this impact the operations of global IT teams?  To answer this question, we partnered with 451 Research to conduct a survey that examined the prevalence and effectiveness of shared data models and digital twins. 

451 Research compiled the data and incorporated their industry knowledge to deliver a paper titled “Examining the Effectiveness of Digital Twins in Network Modeling.” The Pathfinder report examines how data sharing approaches impact each role and the interaction between job functions from the perspective of cloud operations, network operations, and security operations.

We invite you to read this paper and see what your peers have to say about digital twin technology and how they believe it will improve their effectiveness.

Interested in seeing what digital twin technology can do for your network needs? Request a demo with our technical team.

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