大数据驱动传统产业转型升级的路径——基于大数据价值链视角

Path of Big Data Driving the Transformation and Upgrading of Traditional Industry：Based on Big Data Value Chain Perspective

摘要:

随着数字经济的发展，数据化成为传统产业发展的方向。大数据作为当前数字经济的发展要素，能够驱动传统产业的转型升级，为传统产业的发展带来正向效应，解决当前传统产业成本高、信息化程度低等问题。通过对大数据的理论研究，立足于大数据价值链视角，挖掘大数据的价值内涵，明确大数据通过价值创造能够驱动传统产业转型升级。同时根据大数据价值链三要素数据量与数据质量、数据分析能力以及创新性思维，分别提出大数据驱动传统产业转型升级路径即数据驱动路径、能力构建路径和思维双元路径，进而对传统产业的转型升级提出相关政策建议。

Abstract:

With the development of the digital economy, digitization has become the direction of traditional industries. As the significant element in the development of the current digital economy, big data can drive the transformation and upgrading of traditional industries, bring positive effects to the development of traditional industries, and solve the problems of high cost with low informatization of traditional industries. Through the theoretical research on big data, in the respect of big data value chain, the value connotation of big data is explored, and it will be clear that big data can drive the transformation and upgrading of traditional industries through value creation. In the meantime, according to the three essential elements of the big data value chain, namely the data quality and quantity, data analysis and innovative thinking, the transformation and upgrading paths for traditional industries driven by big data are proposed respectively, i.e., the data-driven path, the capability-building path and the thinking dual-way path. Then, relevant recommendations on policies are proposed for the transformation and upgrading of traditional industries.