Open AccessResearch on the Transformation and Upgrading Path of Traditional Industries Driven by Big Data from the Perspective of Big Data Value Chain
Author(s) -
Jintao Wu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/2/022175
Subject(s) - big data , connotation , digital transformation , value (mathematics) , perspective (graphical) , quality (philosophy) , computer science , transformation (genetics) , creativity , business , industrial organization , data science , knowledge management , artificial intelligence , data mining , linguistics , philosophy , biochemistry , chemistry , epistemology , machine learning , world wide web , gene , political science , law
Due to the rapid development of digital technology, digital form has become the development direction of various industries. As the main development factor of the current digital economy, big data can effectively drive traditional industries and new transformation and upgrading, bring positive influence to the development of various traditional industries and industries, and effectively solve the problem of high cost and low harvest in traditional industries. Therefore, through the research on the basic theoretical knowledge of big data and the exploration of its internal value connotation from the perspective of the value chain of big data, and the value creativity of big data can be used to complete the transformation and upgrading of the traditional industrial nature. In addition, the three elements of the big data value chain, including data quality, innovative thinking and data analysis ability, provide the ways and means for the transformation of traditional industries, and then put forward relevant policy suggestions for the transform and upgrade the nature of traditional industries.