At the 2025 International New Energy Industry Marketing Summit* held recently, Dun & Bradstreet, a century-old business data giant, disclosed its solutions to empower new energy companies to go overseas. Xue Wen, vice president of the company's China business, gave a speech on the theme of "Overseas Layout and Regional Case Analysis of Chinese-funded New Energy Enterprises", revealing how business big data runs through the core links of the new energy industry chain going global.
Century-old data assets to solve the dilemma of going global
"When a Chinese power battery company plans to build a factory in Mexico, the trickiest thing is not capital or technology, but how to build a safe and stable supply chain in an unfamiliar market." Xue Wen's opening remarks hit the pain points of the industry. The complexity and uncertainty of overseas markets make it difficult for traditional experience-based business decision-making models to meet the needs of modern enterprises. Xue Wen pointed out that whether it is new energy or the automotive industry, modern business decision-making has gradually shifted from relying on experience and industry knowledge in the past to relying on technologies such as big data and artificial intelligence. The combination of data and technology in industry scenarios can effectively improve the accuracy of business decision-making and empower the development of enterprises.
As a data service provider with a history of 200 years, D&B's database covers 600 million companies around the world, especially in emerging markets - 70 million enterprise data in Southeast Asia has been added, and special data expansion has been carried out for countries along the "Belt and Road". Xue Wen particularly emphasized: "Our equity penetration data can be traced back to the seven-layer holding relationship of the enterprise, which is of decisive value for identifying hidden related party transactions and avoiding compliance risks. "
Figure: Xue Wen, Vice President of D&B China Business, delivered a keynote speech on "Overseas Layout and Regional Case Analysis of Chinese New Energy Enterprises".
Full-cycle empowerment from market insights to receivables recovery
In view of the core problem of "difficulty in finding customers" for overseas enterprises, D&B proposed to accurately divide the target market through the global SIC industry code, and combine 12 dynamic indicators such as enterprise scale, procurement budget, and growth potential to build an exclusive customer portrait of overseas enterprises. Taking the Indonesian market as an example, its database can screen 7,200 target customers that meet the needs of the new energy industry from 1.13 million enterprises, and then optimize it to a high-value whitelist of 4,000 through algorithms.
"The real value lies in dynamic data connectivity." Xue Wen explained in detail the underlying logic of his Hoovers marketing platform. The platform not only integrates static data such as enterprise registration information and financial report data, but also accesses real-time dynamics such as supply chain changes and technology patent updates, and opens up data interfaces on social platforms such as LinkedIn. "When there is a change in the management of the target customer, our system can update the decision chain information within 24 hours."
In terms of risk management and control, D&B has launched the "D&B Payment Plan", which has attracted hundreds of thousands of Chinese enterprises to participate, forming an accounts receivable data ecosystem.
Figure: D&B proposed a solution to the problem of "difficulty in finding customers" for overseas enterprises
Digital IDs reconstruct global trade rules
"Dun & Bradstreet code is becoming a passport for new energy to go to sea." Since 1963, the code has been the "international identity card" for global companies in their business dealings. Regardless of whether a business changes its name, goes out of business, or merges, the code is unique for life and can be used to accurately identify the business and conduct in-depth information research based on global business databases. Xue Wen showed a number of sets of data: the world's top 10 car companies all use Dun & Bradstreet as a hard indicator of supply chain access; Apple, Google, and Huawei require developers to pass the code certification. In the field of medicine, this code is a necessary requirement for FDA approval.
This new type of trade rules, built by data, is reshaping the global industrial landscape. Xue Wen said at the meeting that China's "new three" exports show obvious characteristics of industrial chain clusters. The data shows that Geely and other leading car companies have held 227 affiliated companies overseas, and 34% of their business is deployed in overseas markets; Overseas investment in the Chinese auto industry is concentrated in India, the United States, Germany and other places, while the Middle East, South America and Africa are potential blue oceans. Electronic appliances, industrial equipment, chemicals and motor vehicle parts have become the most intensive areas of overseas layout.
Figure: China's "New Three" Exports Present the Characteristics of Industrial Chain Clusters
Data assets have become a new dimension of overseas competition
The global layout of the new energy industry is gradually evolving from the overseas expansion of a single enterprise in the past to the international migration of the entire industrial chain. In this process, the role of business data is becoming more and more critical. Xue Wen concluded that in the face of an increasingly complex international market environment, new energy companies need to rely on data to improve the accuracy of decision-making, reduce market risks, optimize supply chain management, and ensure trade compliance if they want to gain a foothold in global competition. The globalization of new energy enterprises in the future is no longer "alone", but needs more scientific data support.
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