RevOps often fails because sales, marketing, and customer success operate with fragmented and inconsistent data. As a result, reliable insights are missing, leading to poor forecasts, inefficient targeting, and internal confusion. Without a single unified data layer, teams cannot collaborate effectively or drive growth. A central data layer is therefore an essential foundation for successful RevOps.
AI can sound convincing, but that doesn’t mean it is correct. Generative AI works based on probability, not verified facts. In a business context, that is risky, especially on topics such as ownership structures and compliance. That is why it is important to view AI as an interface rather than a source of truth. Real value emerges when AI is combined with reliable and verifiable data.
Many organizations still focus their credit management on the moment an invoice becomes due. The emphasis is on reminders, follow-up and collections, while the causes of late payments often arise earlier in the process.
Know Your Supplier helps organizations truly understand their supplier base and proactively manage risks. Many companies find that their data is incomplete, causing financial and compliance risks to only become visible late. By integrating risk data and data governance into supplier onboarding, procurement shifts from being reactive to strategic and predictive.
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.
Many B2B organizations seek growth in new business, while a large part of the potential already lies within their existing customer base. By making corporate structures and group relationships visible, expansion within existing customers becomes a strategic and scalable growth engine within your GTM approach.
Master data excellence does not require tooling, but ownership, focus, and a phased approach to achieve First Time Right and real process value.
The European Union has formally added the Iranian Revolutionary Guard Corps (IRGC) to the European terrorist list. This decision follows the bloody suppression of protests in Iran, which according to various sources left thousands dead. This step is mainly symbolic in nature, but the consequences are real. There is an entry ban, assets are frozen, and it is prohibited to do business with entities affiliated with the IRG.
A low DSO does not automatically mean that your cash flow is under control. Averages hide structural problems such as disputes, poor master data, late invoicing, and risky payment agreements. In this article, you can read about the 12 silent and active DSO killers that undermine your working capital and how to tackle them. By focusing on root causes, lead times, and risk throughout the entire order-to-cash chain, you can structurally reduce your DSO without having to make more calls.
The EU is taking a major step forward in the fight against money laundering with the arrival of AMLA and a completely revamped regulatory package. This blog explains what this means for reporting institutions, where the biggest risks lie, and what preparations are essential right now. In just a few minutes, you will understand the impact, the opportunities, and the actions you cannot afford to delay.
Your supplier database is probably less reliable than you think. Hidden corporate structures, duplicate suppliers, and fragmented spending mean you are missing opportunities and running risks. In this blog, you can read how corporate linkage helps you finally see the whole picture and achieve better deals, better insights, and a mature supply chain.
AI offers enormous opportunities, but without reliable data and clear processes, it remains nothing more than a promising prospect. Many organizations invest in AI without the proper preparation. In this blog, you can read why AI Readiness is the key to moving from experimentation to real impact and how a robust database is where success begins.
