Our Blog

Explore the impact of President Trump's 2025 tariff policy on global supply chains, highlighting disruptions in key industries like automotive, electronics, and retail. Learn about the shift toward deglobalization and the need for agile, data-driven sourcing strategies to mitigate risks and adapt to the new trade environment.

Financial transparency is essential for informed decision-making, yet outdated systems and barriers limit access to critical data, leading to delays, risks, and missed opportunities.

Boost your business intelligence with Global Database AI Agents—AI-powered tools that automate data workflows, verify companies, track market shifts, and enhance decision-making in real time. Stay ahead with smarter insights!

Europe’s company data ecosystem is fragmented and inconsistent—with each country operating under different legal frameworks, reporting standards, and registry formats. Finding a single, structured, and reliable source for comprehensive company intelligence has traditionally been a challenge. At Global Database, we’ve built a solution that connects directly to official registries, standardizes data across all jurisdictions, and enriches it with deep business intelligence—giving businesses the most accurate, structured, and up-to-date insights into European markets.

In the world of digital marketing and sales, data is everything. But not all data is created equal. Inaccurate, incomplete, or outdated records can wreck your targeting, waste resources, and hurt conversion rates. That’s where **Waterfall Enrichment** comes in—a structured process that pulls data from multiple sources in a prioritized sequence to ensure maximum accuracy and completeness. Unlike a one-and-done data enrichment approach, waterfall enrichment improves your datasets by layering in fresh, verified details step by step. The result? Smarter segmentation, better personalization, and higher ROI. In this article, we’ll break down how waterfall enrichment works, why it matters, and how you can implement it to optimize your marketing and sales strategies.

AI-powered chatbots like ChatGPT (OpenAI), Perplexity AI, Google Gemini, Claude AI (Anthropic), Microsoft Copilot and including the latest Chinese rivals, such as DeepSeek and Qwen by Alibaba, have revolutionized how we search for information, including company data. While they can quickly generate responses to business-related queries, they struggle with accuracy, real-time updates, and data reliability when it comes to company insights, financials, ownership details, and compliance checks.

When expanding internationally, accessing company registry data seems straightforward at first glance. After all, many countries like the UK offer "free" access to their business registries. However, the reality of gathering and processing this information tells a different story – one that reveals why professional data aggregation services are becoming increasingly vital for global business operations.

In today's data-driven world, reliable company information is the key to unlocking a wealth of opportunities. Whether you're a sales or marketing expert, a product developer, or a data analyst.

Information has always been a critical success factor of any business, be that knowledge about prospects, the market or competitors. But today, with the digital boom and the B2B data sector moving with an extremely fast pace, data has become the indispensable fuel of any business’ engine.

Due diligence is vested as one of the four key imperatives of a disciplined deal-making process. Poor due diligence leads to disaster, and in this article we share with you some of the most notable ones from the last 25 years.

We all know LinkedIn gives its users the freedom to be creative and find the perfect position they love. However, because of this freedom, every user is able to claim whatever they want. They can lie about their profession, companies, work experience, and other important details.

KYC (Know Your Customer) is the process carried out by companies to verify their clients' identities in compliance with the legal requirements, current laws, and regulations, such as eIDAS, GDPR, and AML. Due to the extensive use of new and developing technologies, it is crucial to define standards that can help fight online fraud.