EXPLORATION AND PRACTICE OF DATA ASSET SYSTEM CONSTRUCTION IN CHANGZHOU DRAINAGE

ZONG Yuan; XU Guangming; WU Kunfeng; BAI Yao; ZHU Yongxia; HE Hongwei

doi:10.13205/j.hjgc.202311020

Volume 41 Issue 11

Nov. 2023

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(11): 123-133

ZONG Yuan, XU Guangming, WU Kunfeng, BAI Yao, ZHU Yongxia, HE Hongwei. EXPLORATION AND PRACTICE OF DATA ASSET SYSTEM CONSTRUCTION IN CHANGZHOU DRAINAGE[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 123-133. doi: 10.13205/j.hjgc.202311020

Citation:

ZONG Yuan, XU Guangming, WU Kunfeng, BAI Yao, ZHU Yongxia, HE Hongwei. EXPLORATION AND PRACTICE OF DATA ASSET SYSTEM CONSTRUCTION IN CHANGZHOU DRAINAGE[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 123-133. doi: 10.13205/j.hjgc.202311020

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EXPLORATION AND PRACTICE OF DATA ASSET SYSTEM CONSTRUCTION IN CHANGZHOU DRAINAGE

doi: 10.13205/j.hjgc.202311020

1. Changzhou Urban Drainage Limited Company, Changzhou 213000, China;
2. Zhuhai Zhuobang Technology Co., Ltd., Zhuhai 519070, China;
3. Alibaba Cloud, Hangzhou 310000, China

Received Date: 2023-09-07
Available Online: 2023-12-25

Abstract

Abstract

Taking Changzhou Urban Drainage Limited Company's data asset management system as a case, this research explored the integration and development model of data and physical business. It proposed a construction approach for the data asset management system, emphasizing coordinated planning, standardized guidance, deconstruction and restoration, and deepened application. This aims to explore the architecture of data asset systems in the water industry and feasible construction pathways. Through the practice of data asset system construction, Changzhou Urban Drainage has achieved systematic management of enterprise data assets and operationalization of data business, effectively enhancing the quality and efficiency of its operations and public services. In addition, theoretical frameworks, architectures, and methods for the elementization and assetization of data in the water industry were developed, providing reference solutions for promoting the digital transformation of the water industry and harnessing the value of data production factors.
- data assets,
- data governance,
- data standards

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References(10)

References

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