Enterprise digital transformation three aspects:

1, enterprise digitization and traditional information technology are fundamentally different.

2, digital transformation requires multi-disciplinary, multi- technical support with digital twin technology at the core.

3, with the advancement of the digital twin, data will be used as a factor of production and become the core asset of the enterprise.

Enterprise digitization and traditional information technology are fundamentally different:

Digitalization is the main meaning of the "business" of the digitalization, usually need to be a hand to coordinate the enterprise; in addition, the traditional information technology is more concerned about people and the process. In addition, traditional information technology focuses more on people and processes, while digitalization emphasizes the connectivity and linkage of people, the physical world, and the digital world.

Digital transformation requires multi-disciplinary and multi-technology support, with digital twin technology at its core:

Digital twin technology refers to the establishment of a model of a real aircraft in digital space first, and through sensors to achieve complete synchronization with the real state of the aircraft, so that after each flight, the combination of the existing situation and past loads.

This modeling concept is now widely used across industries to digitize the physical world.

With the advancement of digital twins, data will be used as a production factor and become the core asset of enterprises:

Enterprise production, circulation, management, etc. are gradually digitized through digital twins, generating massive amounts of data, which, through big data technology, will provide important references for the enterprise's production, storage, analysis, and visualization. The data screening, storage, analysis and visualization through big data technology will provide an important reference for the enterprise production and operation decision-making, and realize intelligent governance and intelligent decision-making.