We're curious and happy to share our findings. Read the latest blogs on Master Data, Risk Management, Marketing Intelligence and more here.
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.
AI-driven lead scoring combines behavioural data with company data to identify the most promising sales leads. By continuously learning from results, AI creates more accurate predictions of conversion opportunities. This enables sales teams to work more effectively, spend less time on low-potential leads, and focus on organisations with the greatest commercial potential.
Data providers are not losing their value because of AI; instead, they are taking on a new role as the trusted context layer for AI systems. Current, validated, and traceable business data is essential to prevent AI from drawing convincing but incorrect conclusions. With solutions such as D&B MCP, organizations can connect AI to trusted data at the source, enabling more accurate insights and better business decisions.
AI agents help B2B companies qualify leads faster, identify prospects, and recognize commercial opportunities. Combined with reliable business data, they operate more accurately and deliver more relevant insights. This makes sales and marketing processes more efficient and enables companies to find high-potential customers more quickly.
KYC is still often centered on onboarding and periodic reviews, even though customer data and risk profiles are constantly changing. This creates a need for an up-to-date and consistent view of each customer that immediately reflects changes in ownership, management, or corporate structure. Perpetual KYC shifts this approach to a continuous, event-driven process that detects risks earlier and supports better-informed risk assessments.
AI can accelerate compliance processes when powered by reliable, up-to-date data. With D&B Risk Analytics, the D&B Commercial Graph, and the D-U-N-S® Number, organizations have the context they need for KYC/KYB, screening, due diligence, and ongoing monitoring. The result is faster, better-informed, and more risk-focused compliance.
Market analysis only becomes truly valuable when it helps identify commercial opportunities in a concrete and actionable way. By combining business data, customer relationships, and market insights, organizations can better determine where the greatest growth potential lies and which prospects deserve priority. This leads to more effective sales and marketing efforts, as well as a more targeted use of time and resources.
AI is increasingly delivering measurable returns: 60% of organisations are already seeing results. As a result, the focus is shifting from experimentation to embedding AI in business processes where it adds real value. Successful scaling requires reliable data, clear objectives and effective oversight of outcomes.
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.
