TWO、 Building a data security compliance management system for state-owned enterprises

（one） Establish a data security organizational structure

Within state-owned enterprises, an organizational system has been formed consisting of a leadership group, a research and analysis group, an implementation analysis group, and an expert consulting group, responsible for data classification and graded protection. This system ensures the clarity and execution of organizational structure, personnel allocation, responsibility division, and specific work tasks in data security.

（2） Establish and implement data classification standards

When establishing a data security application support system, it is necessary to comply with the requirements of data security and standardization. This includes the integration of multiple levels such as data collection, processing, governance, asset management, services, and operations, creating a data management framework that covers the integration of "collection fusion service". This architecture includes multiple aspects such as data sources, data collection, data assets, data processing, data governance, data services, data security, and data assurance. Among them, the data collection process focuses on efficient and flexible access to heterogeneous data from multiple sources.

（3） Implement a security protection plan for the entire lifecycle of data

Change the traditional protection strategy that relies on the system and focus directly on the data itself, and design a security technology guarantee system based on the lifecycle of the data. This system is delivered in an intensive and service-oriented manner, achieving comprehensive security control from data generation, transmission, storage, processing, exchange to the final destruction process. In the data processing stage, multiple secure business libraries are constructed to enhance data fusion and increase its value by generating correlation information of data. The focus of data governance is on the management of secure metadata, data quality, and standards, standardizing the organization of data, strengthening the operation and management of data assets, and ensuring the stable operation of the data lifecycle through operation and maintenance activities.

（4） Strengthen data security services and support systems

By deepening data security risk assessment and strengthening protection measures, dynamically optimizing security strategies, and improving security protection measures. Regularly conduct drills on information security emergency plans to enhance the company's ability to respond to emergency situations. At the same time, regular specialized training on data security is organized, and security standards, norms, and management systems are established and continuously improved to fundamentally enhance the information security protection capabilities of enterprises. In terms of data services, provide transparent, consistent, and flexible data services for upper level applications, comprehensively monitor data processing, traffic, and resource usage, and ensure efficient management and application of data.

Conclusion

State owned enterprises play a key role in the data economy, not only supporting macroeconomic development, but also serving as the foundation for many social activities. The construction of data security and compliance in state-owned enterprises is also a complex system engineering. Therefore, identifying and recognizing the difficulties faced by state-owned enterprises in data construction, identifying key obstacles to managing and optimizing data, and developing corresponding data management improvement plans and optimization strategies are of great significance for ensuring the preservation and appreciation of state-owned data assets, realizing the national big data strategy, and promoting the development of the digital economy.

Based on current laws and regulations, state-owned enterprises need to quickly carry out a series of internal data security and compliance training to enhance the awareness and importance of data security and personal information protection among all levels, departments, and employees of the enterprise. Secondly, state-owned enterprises should conduct detailed investigations on their own or entrust professional institutions such as law firms to investigate the business models and application scenarios of data processing and personal information related to the enterprise, clarify the types of data assets held by the enterprise, and under what scenarios personal information is processed, and check whether these processing behaviors comply with legal and regulatory requirements. Through this process, enterprises can conduct compliance gap analysis, identify deficiencies in institutional construction and operational practices, and form risk assessment reports and improvement recommendations based on this.

Ultimately, based on these evaluations and recommendations, state-owned enterprises should make necessary adjustments and improvements in accordance with relevant regulations and the established compliance measures to ensure effective implementation of data security compliance requirements. This series of measures will directly affect the success or failure of state-owned enterprises in data management and optimization, and is a key link in promoting the national digital economy strategy.