We're curious and happy to share our findings. Read the latest blogs on Master Data, Risk Management, Marketing Intelligence and more here.
Heading into 2027, KYB is changing due to new European AML regulations, greater cooperation between FIUs and stricter requirements for up-to-date data. Discover why organisations need to move from periodic checks to a continuously updated view of their customers. Reliable company and UBO data is becoming increasingly important in this process.
A front company may appear legitimate on paper, but several warning signs can point to fraud or money laundering. Discover the warning signs identified by the FIU and the checks that can help you identify risks earlier. By combining business data, you gain better insight into the actual risk profile.
Delays in credit management often arise during the follow-up to credit decisions. With clear policies, smart workflows and AI, standard cases can be processed faster and exceptions can be routed directly to the right person.
Supplier risks range from financial and operational issues to compliance, geopolitical and cyber risks. Continuous monitoring helps identify important signals early and detect changes in the risk profile in a timely manner. This allows you to take the right action faster and maintain greater control over your supply chain.
Agentic AI places higher demands on data than traditional AI. Agents must not only understand information, but also independently access systems and perform actions. Four building blocks are essential for this: semantically rich data, real-time context, an action-oriented architecture, and governance at the source. This makes data reliable, up to date, and usable for safe, controllable AI actions.
Financial crime increasingly operates through networks of companies, intermediaries and money flows. That is why checking only the direct customer is no longer enough. With reliable business data, organisations gain better insight into legal entities, UBOs, ownership structures and business relationships. This makes hidden risks visible earlier and helps organisations make better-informed compliance decisions.
AI can accelerate KYB processes, but only when it has access to the right business context. With up-to-date and verified business information, organizations gain better insight into legal entities, UBOs, ownership structures and risks. This enables faster, better-informed and more traceable KYB decisions.
AI is increasingly delivering measurable returns, and organizations are scaling applications more quickly. Yet the readiness of the underlying data is lagging behind: only 6% say they are fully prepared to support AI at scale. To sustain returns, organizations need a reliable data foundation in which business information is kept up to date, connected, and identified consistently.
AI helps credit risk teams perform credit assessments faster by combining reliable business data, internal information and policy rules. This enables better risk prioritisation, earlier identification of anomalies, and more consistent and well-founded credit decisions.
AI helps real estate organizations analyze lease agreements more efficiently by combining reliable business data with contract information. This makes corporate structures more transparent, enables earlier identification of concentration risks, and supports better-informed real estate decisions.
AI helps detect supplier fraud earlier by combining reliable business data, bank account verification and structured workflows. This enables procurement and finance teams to identify suspicious changes, uncover fake suppliers and make better-informed decisions.
AI only delivers reliable results when it has access to up-to-date and verified business data. The experiment shows that an AI model without reliable sources can hallucinate, while APIs and D&B MCP provide more accurate and better-supported answers. Ultimately, the quality of AI is determined by the quality, availability, and context of the data it uses.
Did a promising lead come in? Good for you! But now it's time to make some business decisions. Are you going to accept him as a customer? Can he buy on credit, and if so on what terms? When making these decisions, use our reliable business information, such as our credit risk data. Then you avoid doing business with companies that actually cannot meet their financial obligations. Read more.
Knowledge and understanding of your market is critical to your success. The Dun & Bradstreet Data Cloud is the largest of its kind and allows you to conduct comprehensive analysis, understand your market share and market penetration, and uncover growth opportunities.
How many companies are there actually within a particular region and how big are these companies? How many companies are active within a specific branch and how many people are employed there? You can quickly and easily make counts and selections in D&B's international companies database on the basis of many criteria. This gives you an insight into where you can best focus your efforts and where your chances of success are the greatest. Read More
By integrating our rich database into your ERP system, you can benefit in many ways. For example, you clean up and keep your data clean throughout your organization. You can validate and enrich your customer and prospect information directly from your business application. Current information becomes instantly accessible within your ERP and you can use it to automate your acceptance process and improve scoring model. Translated with www.DeepL.com/Translator (free version) Read more.
Almost 70% of Dutch BVs are linked via shares to another company in the Netherlands or internationally. More than 30% of Dutch BVs and NVs have a link to foreign companies. The Dun & Bradstreet Data Cloud is the most complete and reliable source for insight into the Dutch and foreign relationships of your business partners, ranging from small unknown companies to the largest multinationals with thousands of branches. Translated with www.DeepL.com/Translator (free version) Read more.
An initial check when selecting a supplier is not sufficient. It is then important to make all changes in risks transparent and to monitor them. This keeps you informed exactly how the risks in your total supply chain are developing. Only with this information can you correctly assess all risks within your portfolio. Read more.
