4 Digital Twin Challenges To Overcome For Better Business Decision-Making

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Entrepreneur, technology evangelist and business strategist. CEO and cofounder of Visartech Inc., a software solution provider. Read Slava Podmurnyi's full executive profile here.

Digital twin is the current big field of opportunities for businesses. At its heart lies using analyzed data from virtual copies for predicting future business events. This way, decision-making becomes not only more informed but also easier.

Computer-Aided Design files are rich in spatial data, making them the ideal foundation for generating precise 3D models. Specialized software can extract and convert this data into a 3D format, ensuring not only accuracy but also expediting the entire process.Another approach involves the application of 3D point clouds which are collections of points in three-dimensional space that show the object's form and arrangement.

With this information flow, your digital twin will work with other business processes easier. The results are savings in time and resources when implementing a digital twin. Also, it maintains data unity and consistency across the company, which is crucial for making management decisions based on reliable information.The core of this challenge is the fact that field data doesn’t follow a single standard and can be low quality for working with them.

 

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