At present, the digital economy has become a new engine for China's high-quality development. As the core production factor of the digital economy, data elements have become a strategic resource to promote industrial upgrading, optimize economic structure and create economic growth points. The People's Bank of China's "Fintech Development Plan (2022-2025)" proposes to "fully release the potential of data elements, build new digital infrastructure, and activate new functions of digital operation" as the key tasks of the current work, and makes a comprehensive and detailed plan for financial institutions to promote data governance and strengthen data application, and emphasizes the need to build an enterprise-level data service capability center and promote the advanced development of data business. In this context, data-driven digital transformation and unleashing the value of data assets have become a new strategic highland for the future development of financial enterprises.
In order to promote industry exchanges, share practical experience, and learn development strategies, on January 26, 2024, Jinke Innovation Club and Lingyang co-hosted the "" in Shanghai2024 Financial Data Management and Platform Construction Practical Salon”。The meeting ended with ".Strengthen the data foundation and improve data capabilitiesAs the theme, the heads of science and technology, big data, data management and other departments from financial enterprises such as Guotai Junan**, China Pacific Insurance Group, Bank of Shanghai**, Xingyin**, Haomai**, Shanghai Life Insurance, Xiaokang Life, Fosun Prudential Life, Tianan Property Insurance, China Life Jinke, Guojin**, Guodu**, Xiangcai**, Debang**, Shanghai Rural Commercial Bank and other financial enterprises conducted exchanges on topics such as data governance system, data platform construction, data modeling and application through theme sharing and roundtable discussions.
Yuan Bo, deputy general manager of Guotai Junan** Data Operation Department.
Meeting,Yuan Bo, deputy general manager of Guotai Junan** Data Operation Department. Combined with the company's "smart investment bank" digital transformation development vision and strategic concept, the company focused on sharing the "logic and practice of Guotai Junan data platform construction". Yuan Bo mentioned that since 2014, when it took the lead in establishing an industry-leading big data platform, Guotai Junan has always carried out construction work around the five links of data "existence, storage, communication, management and use", providing strong data support for the group's customer service, business development, internal management and business decision-making. Give full play to the value of data and achieve the construction goal of "available to all employees, accessible to all data, visible to all processes, and manageable in all fields".
On top of the construction of the data platform, Yuan Bo further shared Guotai Junan's practical experience in data management, data services and data operations: "In terms of data management, we will focus on strengthening data quality, data standards, data security, data models and other fields, and comprehensively improve the maturity indicators of data governance; In terms of data services, it has successively completed the group's internal metadata aggregation, global data classification and classification, and data map 20 and other construction, continuously improve the delivery efficiency of data assets, promote the operation of the cockpit decision-making platform, and realize the integration of the underlying data of enterprise and institution OneID; In terms of data operation, we will build a '1+N+X' data system, that is, build a 'ten unified' platforms, have x data product users, and train data analysts for N groups. ”
Xu Ning, a senior expert in the financial industry of Lingyang.
The digital transformation of finance requires high-quality data and a powerful digital platform to support it. Giving full play to the advantages of massive data scale and rich application scenarios and activating the potential of data elements has become a major issue for financial enterprises. How to take the construction of the data middle platform as an opportunity to consolidate the data foundation and build an enterprise-level data service capability center that is empowered by technology, data-driven, and business-linked? How to improve data quality by building a sound data asset governance system, activate data assets with data operations, and effectively evaluate and quantify the value of data assets? How to strengthen the security of the whole life cycle of data, protect the privacy of personal information, and achieve comprehensive management of data security risks? ......Xu Ning and Shi Bin, senior experts in the financial industry of LingyangFrom the dimensions of "construction of global data asset governance system" and "scenario application", this paper comprehensively explains how financial enterprises can improve the efficiency of data application more effectively through data technology. Xu Ning first introduced the core capabilities of Lingyang's full-process integration based on OneModel, OneID, and OneService, diversifying empowerment scenarios upward, shielding multiple computing engines downward, and two-way linkage of data middle platform construction, and pointed out that global data asset governance is the core component of data middle platform construction, and then from the perspective of "metadata management, data standardization construction based on OneModel, full-link data quality, data security throughout the life cycle, and data classification and classification." , data cost management, data resource management and cost monitoring, data asset management", etc., explained the "global data asset governance solution" in depth.
Shi Bin, a senior expert in the financial industry of Lingyang.
Shi Bin went deep into financial application scenarios such as insurance and insurance, focusing on the design of the first-class industry data model architecture, the construction of real-time data warehouse, and the construction of the onemodel public layer and data application market under the onemodel market scenario. Construct a full-dimensional information graph based on oneid; **The industry is based on OneService, and the service center is built around enterprise data assets.
Xu Zhou, Senior Manager of Data Governance at China Pacific Insurance Group.
In response to the national data policy, CPIC implements the big data strategy and empowers business development with data-driven. Xu Zhou, Senior Manager of Data Governance at China Pacific Insurance Group. With the theme of "Data Governance and Digital Middle Platform Construction Practice", CPIC shared its innovative practices in data governance and data management capacity building.
Xu Zhou focused on the six aspects of "collection, collection, research, use, management, and evaluation" to introduce CPIC's overall data management capabilities, and the development of data governance from human governance, digital governance to intelligent governance: through AI, RPA, rule base and other technical means, from "data governance" to "data intelligence", the development of metadata quality inspection robots, data standard intelligent robots, data security intelligent robots, etc., to improve governance efficiency on a large scale.
The participants also discussed the current situation and challenges of data management and platform construction of financial institutions; Problems and needs of data asset governance and data standard construction; Thinking and Practice of Data in Promoting the Quality and Efficiency Improvement of Enterprise Operation and Management" and other topics were discussed and exchanged in depth.
The 2024 Financial Data Management and Platform Construction Practical Salon focuses on the activation of data value, explores new ideas and methods for the construction of a global data asset governance system, helps financial enterprises consolidate their data element management capabilities, and gives full play to the role of data element value superposition and multiplication, so as to better empower the high-quality development of the digital economy.