Digital twin simulation can be best defined as the technology that helps you create a real-time digital replica of a physical object or a process. Initially, it was being deployed by manufacturing units to empower engineers in creating digital models of turbines and engines. The same thing is now being emulated with the help of AI-oriented process mining tools to simulate business process modelling in digital transformation.
The Process of Building Digital Twin Technology
The first phase of creating a digital twin model is process mining. This cluster of processes draws valuable data from the IT system’s event logs and converts them into illustrated representations of business processes.
In a purely technical sense, one can perform process mining manually, but it takes up a lot of time. With the needed level of exactitude, it becomes a challenging thing to do. Companies are adopting process mining solutions that help automate the processes of data extraction and research. Although process mining and virtual twins have come to be used with the same meaning of intelligent business process automation, it is vital to understand that different tools enable the whole process of digital twin creation.
The second phase of digital twin creation is process visualization. Process mining alone can undoubtedly produce critical insights. However, the result of a visual representation of process flow can offer a more profound familiarity with process implementation.
Enterprises can model, illustrate and envision elaborate business operations using data mining. Similarly, by employing automated analysis techniques, enterprises can determine areas for refinement and find fresh optimization methods.
The last step is simulation. Using the information amassed through process mining, users can experiment with new changes in the process and adaptions in a virtual backdrop before actually enforcing them.
The effectiveness of employing process mining for digital business process automation is highly sweeping. As a matter of fact, enterprises are competing to implement digital twin automation due to the potential of the fascinating effect it promises. Some of the best benefits are:
- With the help of mining processes to create digital twin model technology, firms can rev up the discovery of new processes that need automation.
- Process mining fosters cross-operational cooperation and contact by consolidating business intelligence automation onto a single, unified dashboard.
- It further stimulates experimentation and downsizes monetary and compliance risk by letting its users perform trials for process changes in a secure virtual setting.
The precision of the digital twin models depends on three factors. These are quality and quantity of data, facilitating technologies, and associated business applications. Establishing the footings of the correct functions is paramount to utilizing digital twins to help business process modeling in digital transformation and enhance business performance.
A true-to-life digital twin of the current needs allows businesses to virtually plan their upcoming refurbishments and assess changes before enforcing them. By embracing the superior digital twin automation technology, these businesses can unveil covert deficiencies in the systems, salvage expenses, furnish novel value and guarantee that infrastructures are wholly rationalized.
We at Evoluteiq are dedicated and enthusiastic advocates and enablers of digital business process transformation with the help of our highly resilient platform for digital business process automation. Leap on the link to book a short session with our experts to take you through our systems and implementation.