Customer Stories

First Horizon Bank is a leading regional financial services company with more than $85 billion in assets, offering a variety of services, including commercial, private bank, consumer, small business, and capital markets.   

With the rapid acceleration of data-driven technologies in the financial services market, they knew it had to be bold with its transformation program and knew that data was going to be central to the program. 

D&B services were foundational in bringing the FirstHorizon360 vision to life. D&B Connect data management solution was the first step to structure and enrich its data, while D&B Hoovers helped deliver connected experiences for commercial clients. 

A state-owned bank is committed to finding its position and comparative advantages in the domestic and international dual circulation, focusing on the development of eight business segments such as technology finance, green finance, inclusive finance, and cross-border finance, positioning itself for global and comprehensive development. Among them, customer due diligence is an important issue for the rapid growth of each business segment.

The bank is required to identify and verify the identities of customers and their ultimate beneficial owners (UBOs) to meet AML/CFT regulatory obligations. It must enhance transparency of corporate information, strengthen risk assessment and ongoing risk management, and mitigate risks of money laundering and terrorist financing. For complex and multilayered corporate structures, it is challenging to automatically identify, trace, and assess ownership and control relationships.

Dun & Bradstreet provided the bank with global corporate data to support its AML/CFT‑aligned due‑diligence requirements for cross‑border and multinational entities. Through structured and intuitive data, the bank can obtain a comprehensive view of domestic and overseas corporate linkages and beneficial ownership. This enables more effective CDD/KYB assessment, reduces manual workload, lowers compliance costs, and accelerates the overall due‑diligence process.

With the globalization of the financial market, while promoting the convenience and liberalization of global cross-border investment activities, cross-border trade and other financial activities, global financial risk factors have become increasingly complex, diversified, more concealed, and contagious. In this complex and changing global financial environment, commercial banks need to further strengthen and improve country risk management to promote their stable and healthy development.

The bank has a branch network in major countries and regions worldwide and has initially established a country risk management system that matches its own business scope and scale. However, it has always lacked effective country data to support relevant qualitative and quantitative considerations, so as to update the risk assessment of countries or regions more timely and accurately.

Dun & Bradstreet provided the bank with a country risk report service, helping it greatly improve its data acquisition ability for country risk management, build a scientific, effective, intuitive, and reliable country risk assessment system, and achieve the unity of its own management needs and regulatory compliance value.

The bank is one of the fastest-growing city commercial banks in China. In recent years, it has actively participated in the development of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) and accelerated its overseas business expansion. Its wholly owned subsidiary was established in 2021 and obtained a banking license from the Hong Kong Monetary Authority (HKMA) in 2024, enabling it to provide a full range of financial services—including account opening, settlement, and financing—to local and cross-border corporate clients.

When serving Hong Kong–registered corporate customers, banking institutions are required to fulfill KYC/KYB compliance obligations. This is particularly challenging when customers involve cross-border entities or complex ownership structures. Traditional approaches to corporate information searches are often characterized by cumbersome procedures, high manual and time costs, and a lack of automation, making it difficult to meet both high-frequency business demands and regulatory effectiveness requirements.

Through its partnership with Dun & Bradstreet, the bank has achieved significant operational improvements and compliance enhancements in its KYC process:

Enables automation and structured company information searches, improving identity verification efficiency

Reduce the workload of manual search and entry, minimizing risks, and enhancing compliance process

Integrates search data into the bank’s system to automate account pre-approval

Established a real-time information retrieval mechanism, enhancing compliance accuracy and flexibility

The Hong Kong Trade Development Council (HKTDC) was established in 1966 to promote, facilitate and develop Hong Kong's trade. 

In online procurement, medium-sized enterprises (SMEs) often face challenges due to their limited brand recognition. Buyers tend to lack confidence in the credibility of their products or services, making it difficult for SMEs to secure deals efficiently.  

Dun & Bradstreet has been working with HKTDC to enhance trust in Hong Kong SMEs on its online procurement platform through the D&B Checked Service. Each year, Dun & Bradstreet verifies company details including corporate background, contact information, and relevant registration documents.  

Leveraging data from D&B and HKECIC for cross-analysis, this index covers market indices of Canada, Chinese Mainland, Germany, the United Kingdom, and the United States to assess export risks in Textiles & Clothing, Electronics, and Electrical Appliances.

Exporters face risks from geopolitical tensions, trade dynamics, economic uncertainties, and supply chain disruptions.

This index facilitates a clear understanding of the global business environment, identifies risks for upcoming seasons in industries and related products, and highlights comparatively riskier counterparties in the market and industry.

Sinochem International has an international leading position in agricultural chemicals, intermediates, and new materials. Its customers are spread across more than 100 countries and regions around the world. With the continuous deepening of globalization, it is crucial to improve the level and efficiency of enterprise credit management.

The credit management of Sinochem International has limited automation. Credit collection, analysis, and evaluation mainly rely on manual labor, lacking systematic information management, tracking, and monitoring. It urgently needs to achieve three credit control goals: unifying credit control policies and achieving dynamic early warning; comprehensively integrating effective data resources to form data assets; and deeply mining data value to commercialize the big data platform. 

Through data governance and the construction of a credit risk model, Dun & Bradstreet created a "risk profile" for trading entities, built an intelligent credit risk big data system for Sinochem International, helped Sinochem International comprehensively upgrade its risk control system, achieved automated early warning, increased labor efficiency by 75%, and reduced overdue amounts by 20%.

This enterprise is one of the three leading enterprises in the global commodity supply chain service market, covering areas such as metal minerals, energy and chemicals, and food, providing integrated supply chain service capabilities and solutions. The identification and management of a large number of enterprises in the supply chain require the support and services of an efficient SaaS platform.

In its daily business, this commodity supply chain enterprise needs to conduct business information investigations on customers, with a very high requirement for timeliness. It also has a great demand for the coverage of overseas customers and needs to have the ability to initiate investigations locally. There are many relevant departments and stakeholders in the overall business structure, requiring multi-account use and collaboration.

This enterprise used Dun & Bradstreet's customer master data management solution, combined with the unique Dun & Bradstreet D-U-N-S^® Number system and massive global enterprise data, to clean up its existing customer data and complete the work of customer identification. In addition, this enterprise applied Dun & Bradstreet's Global Financial Analysis Platform to efficiently assess the risk status of target customers, quickly make business decisions, and improve the efficiency of the process from lead to payment by 65%.

The digital platform of a leading central enterprise group needs to centrally form digital assets for each business segment within the group, centrally organize and form a collection of commercial data of overseas trading counterparts of the group, and automatically and accurately identify overseas trading counterparts.

Due to the lack of a unified identification code for overseas enterprises, it often takes a certain amount of time to accurately identify overseas trading counterparts. However, in the business process, there is an urgent need to achieve real-time identification of overseas entities and rapid import of relevant information through digital transformation, and frequently update the commercial information data of relevant enterprises.

This leading central enterprise achieved real-time enterprise identification and matching through D&B Data Blocks, with an automated matching accuracy of over 90%. At the same time, through the API docking of D&B Data Blocks, this leading central enterprise obtained the latest commercial information data of overseas trading counterparts. The relevant data of some countries and regions were updated in real-time for customers, greatly solving the pain points of this leading central enterprise in the demand for overseas enterprise commercial information data.

Volkswagen, headquartered in Wolfsburg, Germany, is an automotive manufacturing company with a revenue of €322.3 billion in 2023. It is the core enterprise of the Volkswagen Group, one of the world's top four automakers. In 2019, it ranked 9th in the Fortune Global 500. Volkswagen owns several well-known car brands and collaborates with over 500,000 suppliers and partners worldwide.

The challenge is achieving consistent data management for automotive suppliers and sales partners across countries, ensuring information completeness and traceability amid varying manufacturing cycles.

Using the D-U-N-S Number for master data management, over 500,000 suppliers must obtain it to enter the supply chain, enabling consistent global data management and full lifecycle supplier and partner management.