All enterprises are studying digital transformation, and they are also accumulating strength for digital transformation, and more enterprises are discussing the road to digital transformation. More enterprises in a wait-and-see state have not reached the established scale of people, finance, and materials, and there is no clear transformation mechanism.
Many enterprises in transformation do not have a good study of the foundation of enterprise survival, but only adapt to the development of digital transformation from the surface needs, and in the process of digital transformation of enterprises, they should effectively study the needs of enterprises and fundamentally understand the foundation behind various "transformations". Don't think everyone else is doing it, and do it blindly.
February**Dynamic Incentive Program We're all talking about digital transformation, so what is digitalization? What is the problem that digitalization is trying to solve?
Digitalization solves the problem of data presence and absence, that is, to achieve breakthroughs and improvements from 0 to 1. The collection and classification of various data is ultimately achieved on the basis of improving the existing data. If an enterprise does not have standardized data, then no matter how advanced the system is, it cannot be digitized. It is necessary to analyze the actual situation of the enterprise, extract all kinds of valuable data for the development of the enterprise, improve the data management mechanism, and then solve the problem through digitalization. It is to eliminate paper documents, reduce manual data screening, and strengthen the storage and use of data and rapid decision-making.
Networking solves the problem of data flow, and it is not necessary to connect all computers into a network to achieve networking. Instead, it opens up the rapid transmission of various data in all aspects, realizes data sharing and data link between systems, and creates a mechanism for eliminating information silos. It can improve and enhance the rapid flow of data, and facilitate efficient execution.
Intelligence, on the other hand, is the automatic flow of data, and automatic decision-making is realized based on the definition of data. What is automatic? The meaning of automatic is that it can be done without human intervention. What we need to do is to build intelligent models and databases, so that the flow of information in the past is based on paper, and build a data management and decision-making mechanism based on the automatic flow of models in every link.
Although the promotion of intelligent manufacturers is customized, it should be realized by users based on their own company's planning and manufacturing essence. It is used to solve the existing pain points of the enterprise and realize the improvement of the long-term development of the enterprise, and it is necessary to build the core competitiveness system, rather than blindly going to the system based on catering to social development. It is necessary to be accurate, quick to use, and effective.
All decision-making of enterprises should be comprehensively integrated, so that digitalization can become the cornerstone of the healthy growth of enterprises, and it should become a new driving force to ensure the implementation of data and realize the efficient allocation of people, finance, and materials.