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.
An Early Warning System (EWS) helps companies identify payment risks early. Where it is mandatory for banks, it also offers great benefits in B2B environments: better risk management, faster decision-making and more stable cash flow. Especially in an unstable economy, actively monitoring customers is crucial to avoid surprises.
Many organizations think they are data-driven, but lack critical insight into their commercial assumptions and blind spots. This matrix helps you identify six data zones, from what you're sure about to what you'd rather not face. By being more aware of your data, you'll make better decisions and discover untapped growth opportunities.
Why do sales and marketing often feel out of sync? Because your customer data usually isnโt sharp enough. Relying on outdated or incomplete information means youโre missing valuable opportunities and wasting budget on the wrong customers. By using up-to-date and enriched data, you can clearly identify who truly matters to your business. That way, you gain more control, make your sales funnel more effective, and take real steps toward growth.
When is your organization ready for a master data management strategy? In this blog you will read which signals indicate this (such as fragmented data, data problems or growth plans) and how to set up an MDM strategy in 9 clear steps. From setting goals to securing data quality: this roadmap will help you get a grip on your data and be ready for further growth and digitization.
European regulator EBA's new AML rules place a strong emphasis on transparency in ownership structures. Especially companies with complex or international structures are more likely to receive additional questions from banks as a result. Without clear insight into these structures, delays in KYC processes are almost inevitable. Timely investment in overview and control helps prevent delays and ensures that you meet the stricter requirements.
Think checking the UBO once is enough? That's a misconception. UBOs can change at any time, often without you even realizing it. If you miss those changes, you run the risk of sanctions, reputational damage or involvement in financial crime. Active UBO monitoring helps you spot risks early and protect your organization from unexpected consequences.
A retro analysis of your customer base helps identify financial risks by examining payment behavior and company characteristics. By combining data such as industry, company size and financial metrics, you gain insight into which customers are causing payment problems. These insights enable you to improve your credit policies and screening processes, identify risks early and adjust payment terms. So you better protect your organization from losses and make smart, data-driven financial decisions.
Credit management has transformed from manual and fragmented to automated and data-driven. Thanks to integrations with CRM and accounting systems, departments such as sales, marketing and compliance work with real-time customer insights. Through API links, essential credit data flows directly into internal systems, speeding up risk identification and making decisions more efficiently.
In this blog, experts from CM.com, WeTransfer, and Altares share how they use data as the engine of their commercial processes. From improving lead qualification to automating workflows, data makes the difference. By breaking down silos, streamlining systems, and making data-driven decisions, they achieve more results with less effort. Data is therefore not just supportive but an active team member that brings marketing and sales closer together, and closer to the customer.
