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Credit Risk Management

This way, organizations gain more control over international credit risk

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.

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Credit Risk Management

From fragmented partner data to a Risk Intelligence Hub in 4 steps

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.

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Credit Risk Management

Data-driven risk management as the foundation for international resilience

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.

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Credit Risk Management

Lowering DSO? Here Are the 12 Biggest DSO Killers Undermining Your Cash Flow

A low DSO doesnโ€™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, youโ€™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.

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Credit Risk Management

Through the Eyes of Your Customer: Why Internal Restructuring Delivers External Results

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 perspectiveโ€”i.e., aligning processes with the customer experienceโ€”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.

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Credit Risk Management

Credit management in motion

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.

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Credit Risk Management

Data-driven trade credit risk: using insight to make automated decisions

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.

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Credit Risk Management

NIS2: the new reality for companies in the Benelux and how data can be your strongest defense

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.

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Credit Risk Management

Interview with Niels van Nieuwenhuijzen, Partner Manager at Altares Dun & Bradstreet

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.

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Credit Risk Management

Why โ€œno newsโ€ can still be bad news

โ€œNo news is good newsโ€ 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.

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