Research Article
The New Connotation and Technology System of Enterprise Digital Transformation in the Era of Big Data
@INPROCEEDINGS{10.4108/eai.1-9-2023.2338721, author={Liang Tang and Haojie Ling and Er'xu Shang and Hong Tan and Huailong Liu}, title={The New Connotation and Technology System of Enterprise Digital Transformation in the Era of Big Data}, proceedings={Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1--3, 2023, Chongqing, China}, publisher={EAI}, proceedings_a={ICPDI}, year={2023}, month={11}, keywords={big data era; enterprise digitalization; transformation; connotation; technology system}, doi={10.4108/eai.1-9-2023.2338721} }- Liang Tang
Haojie Ling
Er'xu Shang
Hong Tan
Huailong Liu
Year: 2023
The New Connotation and Technology System of Enterprise Digital Transformation in the Era of Big Data
ICPDI
EAI
DOI: 10.4108/eai.1-9-2023.2338721
Abstract
The integration of new generation information technology and manufacturing industry has promoted the rapid development of industrial digital economy, data has grown into an important strategic asset for manufacturing enterprises, and the value mining and utilization of data has become an important driving force for the current digital transformation and upgrading of enterprises. With data management as the core, it is proposed to divide the digital transformation of manufacturing enterprises into four development stages, such as manual-based rough management, information technology-based digital management, industrial Internet-based big data management, and intelligent management based on a new generation of artificial intelligence. The new connotation of digital transformation of manufacturing enterprises in the current era of big data is elaborated from various dimensions such as driving elements, conceptual changes and basic features, on the basis of which the system architecture and key technology system of digital transformation are discussed from the perspective of the whole life cycle of data, and finally the development direction of the current manufacturing enterprises to promote digital transformation is pointed out.