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.
A low DSO doesn’t automatically mean your cash flow is under control. Averages hide structural issues like disputes, poor master data, late invoicing, and risky payment agreements. In this article, you’ll learn about the 12 silent and active DSO killers that undermine your working capital and how to tackle them. By focusing on root causes, turnaround times, and risk across the entire Order-to-Cash chain, you can lower DSO structurally, without calling more aggressively.
Many organizations manage Marketing, Sales, and Finance separately, while customers experience them as a whole. These internal silos cause friction, delays, and missed opportunities. By restructuring the organization from the customer's perspective—i.e., aligning processes with the customer experience—you can improve conversion, customer experience, risk management, and customer value. Successful organizations don't look at departments, but at the customer journey as a whole.
Credit management is changing rapidly: from collecting invoices to strategic customer management. Marverick van de Beeten (MaxCredible) explains how data, AI, and human empathy work together to ensure predictable cash flow and stronger customer relationships. Discover how technology is transforming the profession.
Successful organizations no longer make decisions based on gut feeling, but on data. With real-time insights and automated processes, trade credit risk management becomes faster, smarter, and more consistent. Discover how integrated decision-making in CRM and ERP systems reduces risks and increases growth opportunities.
The European NIS2 Directive imposes stricter requirements on organizations to manage their cybersecurity and supplier risks. Companies in the Netherlands must be able to demonstrate that their security is up to standard. In this blog, you can read about what NIS2 entails and how data from Altares Dun & Bradstreet helps you comply with the directive and emerge stronger from this change.
In this interview, Niels van Nieuwenhuijzen, Partner Manager at Altares Dun & Bradstreet, explains how collaboration with partners and smart data integrations help companies reduce risks, strengthen compliance, and work smarter with the help of AI. He shares his vision for the future of data-driven business and his ambition to build an ecosystem in which software, consultancy, and data come together to create real impact.
“No news is good news” sounds familiar, but in credit risk, silence can mean just the opposite. The absence of signals often does not mean that nothing is going on, but that you cannot see it. In this blog, you can read how silence can be misleading, which risks remain undetected as a result, and why up-to-date data and monitoring are indispensable for preventing surprises.
Pressure on supply chains is increasing: bankruptcies, sanctions lists, and quality issues are constantly lurking. In this blog, you can read how, as a procurement professional, you can use insights from Altares Dun & Bradstreet to identify and manage supplier risks at an early stage. This will strengthen continuity, compliance, and cost control within your organization.
As a client, you can be held financially liable if a supplier or subcontractor fails to pay their payroll taxes. In this blog, you can read about what chain liability entails, why you need to do more than just sign a contract, and how data can help you manage risks in your supply chain.
Doing business internationally involves risks, especially in the event of bankruptcy. But that is about to change. Thanks to a new EU agreement, creditors will have more control over cross-border insolvencies. What exactly has been agreed and why is this already relevant for your risk analysis?
Trade credit risk is becoming more difficult to manage due to rising bankruptcies, geopolitical risks, interest rate volatility, data scarcity, and ESG requirements. Companies need to respond to risks faster and smarter with integrated data, customized scoring models, and automation. Only then can they remain financially resilient in a more complex trading landscape.
