Exploring the promotion method and pathway of energy big data service business. Issue 1 (1st February 2022)

• Record Type: Journal Article
• Authors: Yan, Qibo; Ji, Huiqiang; Chen, Jingcheng; Wang, Xudong; Gao, Yi; Zhang, Xiaochun; Wang, Yongli; Zeng, Ming
• Is Part Of: IOP conference series. Volume 983:Issue 1(2022)
• Publication Date: 2022-02-01
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/983/1/012049
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: In the wave of China's new energy revolution and digital revolution, advanced information technologies such as big data, cloud computing, Internet of Things, mobile Internet, and artificial intelligence have been deeply integrated with the energy industry, and energy big data has emerged as the times require. Energy big data promotes new models and new formats in the energy sector. The vigorous rise of energy big data has injected new impetus into the energy transition. With the explosive growth of energy data and the continuous improvement of data processing capabilities, energy big data has become a new element of social production, and different social entities have corresponding business needs. Therefore, this article is based on the three basic business promotion theories of growth cycle, growth framework and growth strategy with growth hacking theory as the core, and considers the different characteristics of government, enterprises and residents in terms of customer acquisition cost and life value. Finally, this article puts forward energy big data service business promotion models for governments, enterprises and residents which are based on the five stages of the user life cycle.