3D World: Intelligent Data Asset Management Aids Digital Transformation

With the vigorous development of new quality productive forces, innovation has become a powerful engine for promoting corporate transformation, leading industrial upgrading, and empowering high-quality economic development of the country. Against this backdrop, data, as the most precious resource and the most active factor, has become the core driving force for enterprises to seize the opportunities of the times, achieve digital transformation, and high-quality development through the leap in asset management and efficiency.

On September 27th, in order to cultivate a national integrated data market and promote the high-quality development of the data industry and the compliant and efficient development and utilization of corporate data resources, the National Data Bureau issued the "Announcement on Seeking Public Comments on the 'Guiding Opinions on Promoting High-Quality Development of the Data Industry'" and the "Announcement on Seeking Public Comments on the 'Opinions on Promoting the Development and Utilization of Corporate Data Resources'".

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The "Guiding Opinions on Promoting High-Quality Development of the Data Industry" aims to promote the high-quality development of the data industry, clarifying key aspects such as overall requirements, planning layout, cultivation of business entities, technological innovation, resource development and utilization, prosperity of circulation and transaction markets, infrastructure support, enhancement of security protection capabilities, and optimization of the industrial development environment. The "Opinions on Promoting the Development and Utilization of Corporate Data Resources" aims to improve the mechanism for realizing corporate data rights, give full play to the role of corporate entities, classify and promote the development and utilization of corporate data resources, enhance corporate competitiveness, empower digital transformation of industries, and help improve governance efficiency and public service capabilities, providing strong support for cultivating new quality productive forces and promoting high-quality development.

As the basic system of data elements continues to improve, institutional documents such as data property rights, data circulation revenue distribution, security governance, public data development and utilization, high-quality development of the digital economy, and guidelines for data infrastructure construction are expected to be implemented as soon as possible.

In response to the national call, 3D World has actively completed the intelligent upgrade project of data asset management. The data asset management platform DAM V13 version has introduced data intelligence technology, enhancing the intelligence of management functions such as data standards, data quality, data security, data indicators, data modeling, data tagging, metadata, and business intelligence. It strengthens data governance and enhances user insight, accelerating the rapid transformation of data value. It continues to focus on proactive metadata, combining machine learning, deep learning, and natural language processing technologies, to meticulously refine the details of multi-module functions, improve functional closed loops, and iterate more than 80 functional points, fully enhancing the level of intelligence and data management efficiency. The platform features a search and Q&A-style data analysis system, with Q&A-style interaction and search-style experience, transforming the data analysis process with full-scene data integration, allowing data to "speak wisely"; full-link collaborative data development returns tools to their essence of serving people, comprehensively improving the work efficiency of frontline data developers and business personnel. The product features are as follows:

- Enhanced data catalog

- Closed-loop data quality

- Governance to self-service agile application closed-loop

- Knowledge graph-based enhanced data governance

- Reasonable assessment and booking of data assets**Data Development and Governance Integration**

**Efficient and Lightweight Indicator Modeling**

**Indicator Management + BI for Systematization of Indicator Middle Platform**

**Agile Data Tagging for Value Creation**

**Intelligent Data Analysis Based on Large Models**

**Self-service Agile Applications in Data Marketplace**

3D World has integrated an AI-empowered new generation of data asset management platforms, which is expected to significantly enhance the level of intelligence and efficiency in data management. With cutting-edge product architecture, comprehensive platform functions, and rich implementation experience, the company's new version of the data asset management platform has been successfully promoted, applied, and implemented among both new and existing customers. To date, it has provided data asset management services to enterprises such as China Minmetals Corporation, Shaanxi Heavy Duty Automobile Co., Ltd., China Gas Holdings Limited, China Railway Construction Real Estate Group Co., Ltd., Sinopharm Group Exhibition Co., Ltd., Lee Kum Kee Group, China Overseas Property, Vivo Mobile Communication Co., Ltd., and Starbucks China. This has created a good demonstration effect, helping customers effectively manage data assets, flexibly meet business needs, agilely iterate various data analyses, and build a complete data operation system of "inventory, regulation, construction, management, and utilization."

**Market Supervision Field Application**

Represented by the Market Supervision Administration, by collecting, processing, cleaning, and tagging massive public information both domestically and internationally, a database of core enterprise basic information data in specific major industries, as well as domestic and international public opinion, laws and regulations, case information, and market share data related to the market, is formed. Graph database technology is used to consolidate related data information under the names of relevant entities, clarifying the competitive status of core enterprises domestically and internationally. This forms a core enterprise database and provides intelligent association processing and analysis capabilities for core enterprise data, offering auxiliary support for competition law enforcement-related business.

**Pharmaceutical Circulation Field**

Including enterprises such as Sinopharm Holdings, in the process of medical device data governance, AI models are introduced to use NER (Named Entity Recognition) technology for intelligent cleaning of more than 4 million medical device data entries. During the data cleaning process, automated data classification and tagging are achieved, with real-time monitoring of data quality during data cleaning and preprocessing. The accuracy of data processing has increased by about 40%, the processing efficiency has increased by 200%, and a comprehensive saving of 60% of manual labor has been achieved.

**Pharmaceutical Manufacturing Field**

Data asset management supports pharmaceutical manufacturing customers such as Tianjin Pharmaceutical Group Daren Hall Group, with "Chinese Herbal Medicine Price Trend" as an innovative data scenario. It deeply integrates massive data resources in the field of traditional Chinese medicine, accumulates data assets, and applies digital intelligence tools to deeply explore data value based on multiple datasets such as historical market prices of medicinal materials, procurement and sales records, and supplier data. A "Chinese Herbal Medicine Price Trend Data Report" has been successfully designed, which can provide multi-dimensional procurement decision support for companies engaged in Chinese medicine resources, traditional Chinese medicine industrial enterprises, slice enterprises, and traditional Chinese medicine clinics. It also assists customers in completing the registration of data assets at the Beijing International Big Data Exchange.In the field of equipment manufacturing, data asset management closely follows the core business areas of enterprises—marketing domain and procurement domain. By systematically organizing business architecture and processes, a unified data asset management system is established. Taking Shaanxi Heavy Duty Truck Group as a representative, a complete data architecture is designed, a data asset catalog and enterprise-level data model are established, the data governance system is improved, and advanced data governance platform tools are implemented. This effectively solves the challenges in business interconnectivity, providing a solid data foundation for data analysis applications and ensuring the effective implementation and promotion of enterprise data governance work.

In the property insurance field, customer data from property insurance companies such as Shanghai International Group and Bohai Property Insurance are considered core data. Various applications centered around "customer-centricity" are transformed to provide data support. This lays the foundation for data governance and data asset management, aligning with industry development trends. Data governance and data asset inventory and assessment are carried out, further refining the granularity of data governance and clarifying the scope of data ownership, laying the groundwork for the development of data products. Based on a big data platform, comprehensive data integration and application across user, product, and sales dimensions are achieved, providing data support for customer profiling, product marketing, and sales plan promotion.

In the comprehensive medical field, in data governance projects of large group hospitals with multiple locations and campuses, business data is integrated and standardized through data integration. Including typical customers like Taikang Medical, data resources are transformed into manageable and utilizable assets through data assetization. By asset serviceization, data assets are converted into data services available for clinical, management, and research departments. Through service valueization, the value of data assets is realized, bringing tangible economic and social benefits to hospitals. A unified data foundation for smart hospitals is established, providing solid data support for the digital transformation of hospitals. Hospital process reengineering is achieved in a digital environment, enhancing the quality and efficiency of medical services. By managing and operating hospital data assets, effective utilization of data resources is realized, providing momentum for the sustainable development of hospitals.

In the supply chain field, addressing core pain points and difficulties faced by large integrated groups like Minmetals Group in supply chain management, such as insufficient supply chain visibility, information silos, insufficiently refined risk control, and high difficulty in cost control, solutions are proposed. These include establishing a unified supply chain management platform and data asset management platform, strengthening data sharing, optimizing supply chain management, and implementing intelligent technologies. A group-level "supply chain control tower" is formed, comprehensively improving efficiency, strengthening risk control, reducing costs, and promoting enterprise development. Intelligent applications empower enterprises to achieve a deep understanding and continuous optimization of business processes such as procurement, warehousing, logistics, sales, suppliers, customers, contracts, and fulfillment. Advanced technologies such as artificial intelligence and machine learning are used to effectively integrate and analyze data, improving business operation efficiency, service quality, and meeting business management needs, thereby achieving benefits such as value addition, efficiency improvement, risk prevention, and cost reduction.

Sanwei Tiandi's data asset management solution will be guided by the "Data Element ×" Three-Year Action Plan (2024-2026) issued by the National Data Bureau, continuously exploring typical case project engineering of "Data Element ×" to leverage the amplifying, overlapping, and multiplying effects of data elements.

The company will continue to leverage its first-mover advantage, cutting-edge technology, and rich implementation experience, using the data asset management platform DAM V13 as a tool to fully support customers in digital transformation and improve enterprise management efficiency. Based on its application to become a data merchant at data exchanges such as the Shanghai Data Exchange and Beijing Big Data Exchange, Sanwei Tiandi will seize the urgent demand for data service enterprises in the rapid development of data element marketization. It will focus on the elemental functions of the data asset management platform to provide data processing services for both data suppliers and demanders.

In the "Data Element × Financial Services" field, Sanwei Tiandi will comprehensively utilize quality data, business, tax, medical, social security, utilities, and other data to strengthen entity identification. It will promote the sharing and efficient circulation of financial credit data, public credit data, and commercial credit data, support the sharing of risk control data among financial institutions, and integrate and analyze multi-dimensional data such as financial markets, credit assets, and risk verification. This will leverage the driving role of financial technology and data elements. Currently, as a major part of the second phase of the China-ASEAN NQI platform construction, Sanwei Tiandi has cooperated with the Guangxi Branch of China Construction Bank to build the "Quality Loan" financial service project, which has been successfully launched and put into use, helping various enterprises and industries to achieve high-quality development.

In the "Data Element × Industrial Manufacturing" field, Sanwei Tiandi continues to explore and promote collaborative manufacturing business, advance the construction of product master data standard ecosystem, and support leading enterprises in the supply chain to connect upstream and downstream design, planning, quality, logistics, and other data to achieve agile and flexible collaborative manufacturing. It enhances service capabilities, supports enterprises in integrating design, production, and operational data, and improves predictive maintenance and value-added service capabilities, achieving value chain extension.