TY - JOUR
T1 - Analysis and Research on Enterprise Science and Technology Innovation Strategy Based on Big Data
AU - Chen, Guoqiang
AU - Huang, Bifang
AU - Wei, Xiaoyu
AU - Chen, Bowen
AU - Liao, Haojie
N1 - Publisher Copyright:
© 2024, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
PY - 2024
Y1 - 2024
N2 - This study explores the analysis of enterprise technology innovation strategies based on big data. In the context of the digital economy era, big data has become a key driving force for enterprise technological innovation. By collecting, integrating, and analyzing big data, enterprises can gain insight into market trends, optimize product development, improve operational efficiency, and achieve intelligent strategic decision-making. This article first outlines the core characteristics of big data technology and its application status in enterprise technological innovation. Furthermore, an in-depth analysis was conducted on how big data can assist enterprises in achieving technological innovation, including product innovation, service innovation, and business model innovation. At the same time, the challenges faced by enterprises in utilizing big data for technological innovation were also discussed, such as data privacy protection, data security, and technological updates. Finally, this article proposes strategic recommendations for enterprise technological innovation based on big data, including strengthening data governance, optimizing data-driven decision-making mechanisms, enhancing data analysis and mining capabilities, and building an open innovation ecosystem. By implementing these strategies, enterprises can better utilize big data resources, promote technological innovation, and achieve sustainable development.
AB - This study explores the analysis of enterprise technology innovation strategies based on big data. In the context of the digital economy era, big data has become a key driving force for enterprise technological innovation. By collecting, integrating, and analyzing big data, enterprises can gain insight into market trends, optimize product development, improve operational efficiency, and achieve intelligent strategic decision-making. This article first outlines the core characteristics of big data technology and its application status in enterprise technological innovation. Furthermore, an in-depth analysis was conducted on how big data can assist enterprises in achieving technological innovation, including product innovation, service innovation, and business model innovation. At the same time, the challenges faced by enterprises in utilizing big data for technological innovation were also discussed, such as data privacy protection, data security, and technological updates. Finally, this article proposes strategic recommendations for enterprise technological innovation based on big data, including strengthening data governance, optimizing data-driven decision-making mechanisms, enhancing data analysis and mining capabilities, and building an open innovation ecosystem. By implementing these strategies, enterprises can better utilize big data resources, promote technological innovation, and achieve sustainable development.
KW - Big Data
KW - Decision Tree Model
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=85191192101&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85191192101
SN - 1646-9895
VL - 2024
SP - 394
EP - 405
JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
IS - E67
ER -