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 Without data cleansing, duplicate, outdated and incorrect customer and supplier data will be carried over to S/4HANA.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.
Heading into 2027, KYB is changing due to new European AML regulations, greater cooperation between FIUs and stricter requirements for up-to-date data. Discover why organisations need to move from periodic checks to a continuously updated view of their customers. Reliable company and UBO data is becoming increasingly important in this process.
A front company may appear legitimate on paper, but several warning signs can point to fraud or money laundering. Discover the warning signs identified by the FIU and the checks that can help you identify risks earlier. By combining business data, you gain better insight into the actual risk profile.
Delays in credit management often arise during the follow-up to credit decisions. With clear policies, smart workflows and AI, standard cases can be processed faster and exceptions can be routed directly to the right person.
Supplier risks range from financial and operational issues to compliance, geopolitical and cyber risks. Continuous monitoring helps identify important signals early and detect changes in the risk profile in a timely manner. This allows you to take the right action faster and maintain greater control over your supply chain.
Agentic AI places higher demands on data than traditional AI. Agents must not only understand information, but also independently access systems and perform actions. Four building blocks are essential for this: semantically rich data, real-time context, an action-oriented architecture, and governance at the source. This makes data reliable, up to date, and usable for safe, controllable AI actions.
Financial crime increasingly operates through networks of companies, intermediaries and money flows. That is why checking only the direct customer is no longer enough. With reliable business data, organisations gain better insight into legal entities, UBOs, ownership structures and business relationships. This makes hidden risks visible earlier and helps organisations make better-informed compliance decisions.
AI can accelerate KYB processes, but only when it has access to the right business context. With up-to-date and verified business information, organizations gain better insight into legal entities, UBOs, ownership structures and risks. This enables faster, better-informed and more traceable KYB decisions.
AI is increasingly delivering measurable returns, and organizations are scaling applications more quickly. Yet the readiness of the underlying data is lagging behind: only 6% say they are fully prepared to support AI at scale. To sustain returns, organizations need a reliable data foundation in which business information is kept up to date, connected, and identified consistently.
