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: 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.
Data provenance shows where business data comes from and how it has changed over time. This helps organizations build greater trust in their data and make better-informed decisions. Insight into the origin of data is becoming increasingly important, especially for compliance and risk analysis.
Many organizations are evolving credit risk management from a reactive process into an integrated, data-driven approach. By combining customer and risk data, they gain better insight into credit risks, including internationally. This makes it possible to identify risks earlier and intervene in a more targeted way. As a result, credit risk management is shifting toward a proactive and strategic approach.
In four steps to a Risk Intelligence Hub: from a single, consistent partner view with Master Data Management, through combining customer and supplier data with Know Your Partner, to linking risk signals to context and group structures. This shifts risk management from reactive to predictive, with greater control over risk, cash flow, and continuity.
RevOps often fails because sales, marketing, and customer success operate with fragmented and inconsistent data. As a result, reliable insights are lacking, leading to poor forecasts, inefficient targeting, and internal confusion. Without a single unified data layer, teams cannot collaborate effectively or steer growth. A central data layer is therefore an essential foundation for successful RevOps.
AI can sound convincing, but that does not mean it is correct. Generative AI works based on probability rather than verified facts. In a business context, this is risky, especially in areas such as ownership structures and compliance. That is why it is important to see AI as an interface rather than a source of truth. Real value emerges when AI is combined with reliable and verifiable data.
Many organizations still focus their credit management on the moment an invoice becomes due. The emphasis is on reminders, follow-up and collections, while the causes of late payments often arise earlier in the process.
Data-driven tenant analysis helps real estate professionals not only assess the current financial situation of tenants but also predict future risks, enabling stable rental income and better-informed investment decisions.
Know Your Supplier helps organizations truly understand their supplier base and proactively manage risks. Many companies find that their data is incomplete, causing financial and compliance risks to only become visible late. By integrating risk data and data governance into supplier onboarding, procurement shifts from being reactive to strategic and predictive.
Data-driven risk management helps organizations better manage international risks. Geopolitical tensions, trade barriers, and supply chain disruptions require real-time insight into credit risk and compliance. By identifying and quantifying risks in a timely manner, companies strengthen their resilience and protect their continuity.
Many B2B organizations look for growth in new business, while a large share of the potential already lies within their existing customer base. By making corporate structures and group relationships visible, expansion within existing customers becomes a strategic and scalable growth engine within your GTM approach.
Master data excellence does not require tooling, but ownership, focus, and a phased approach to achieve First Time Right and real process value.
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. 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. 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.
