LIU Yuenan1, DAI Linxu1, ZHOU Wenhong1, 2, WEN Lijun3
2025, 39(3): 87-101.
Data factorization is an inherent requirement for the development of new quality productive forces, and datadriven enterprises play a leading role in the process of data factorizationThis article focuses on key industrial scenarios, conducts interviews with representative enterprises, and uses content analysis to code the interview textsIt summarizes the issues in data factorization and subsequently identifies strategies for advancing data factorizationThe study finds that, at present, data factorization presents a complex array of problemsTo fully understand the causes of these problems, this article analyzes the constraints of data factorization from five perspectives: subject, object, technological environment, institutional environment, and market environmentIt then proposes the following strategies for advancement: to improve internal and external systems and mechanisms of collaborative data regulation, to establish and improve the data governance system for data factorization, to clarify the technological path for the transformation from the exploration of scenario to its integration, to build a flexible and inclusive environment for the innovation and exploration of data factors, and to establish a consensus theory and an according methodology to study the circulation and transaction of data.