A complete file does not automatically provide certainty. Healthcare fraud and mortgage fraud show why supplier screening should also include checking the origin of supporting documents and the party carrying out the work.
Organisaties willen meer investeren in AI, maar breed rendement blijft steken op 28%. De nieuwste D&B-survey laat zien hoe datagereedheid samenhangt met AI-rendement en waarom betrouwbare bedrijfsdata belangrijk is bij verdere opschaling.
A paid invoice does not automatically mean that the origin of the money is clear. Discover how finance and compliance work together to check third-party payments and use up-to-date company and ownership data to gain greater insight into the relationship between customer and payer.
Altares Dun & Bradstreet en Aprovall combineren hun expertise en bedrijfsgegevens om bedrijven te helpen compliance- en corruptierisico’s beter te beheersen. Zo kunnen organisaties zakenpartners efficiënter en betrouwbaarder beoordelen.
DPD shows how to manage credit insurance more effectively by connecting customer information, credit limits and policy terms. Discover how to identify risks early, comply with insurance requirements and make better-informed commercial decisions.
Managing credit risk requires more than periodic credit checks. Bankruptcy risk, geopolitical tensions and supplier dependencies can affect the financial health of business partners and your cash flow. Discover how up-to-date business data, monitoring and risk insights help you take timely action.
Third-party risk management helps organisations determine which suppliers require extra attention based on their impact and dependencies. By identifying financial risks and vulnerabilities in the supply chain at an early stage, organisations can take targeted measures to protect business continuity.
Ontdek hoe AI-gestuurde inkoop, betrouwbare leveranciersdata en de samenwerking tussen Ivalua en Dun & Bradstreet CPO’s helpen betere beslissingen te nemen.
Master Data Management is evolving towards continuous data quality, clear ownership and reliable business information for processes and AI. These six trends show how organisations can future-proof their master data for automation, integration and Agentic AI.
SAP Clean Core helps organisations keep their SAP landscape manageable and future-proof by developing innovations alongside the ERP core using SAP BTP. Combined with reliable Business Partner data, this creates a strong foundation for S/4HANA, e-invoicing, AI and further automation.
The SAP deadline has been extended to 2030, but that does not mean organisations can afford to wait. Without data cleansing, duplicate, outdated and incorrect customer and supplier data will be carried over to S/4HANA. Investing in reliable Business Partner data now creates a stronger foundation for a successful migration, automation and AI.
Many organisations now have a data platform such as Databricks, Snowflake or Microsoft Fabric, but effective AI requires more than technology alone. By enriching your data with reliable business context, such as corporate structures and business relationships, you can make your data AI-ready and unlock more value from both your data platform and AI applications.
