Provenance means the ability to trace every data point back to its official source with timestamps. This capability addresses the trust gap in business data by providing clear lineage for compliance decisions. This article examines why data transparency has become essential for compliance operations, how leading organizations implement it, and what it means for business data management.
Understanding how companies connect has become a critical part of modern business intelligence. For assessing risk, managing compliance, or researching markets, you need to know more than just a company’s name and registration number - you need to know who owns what and how those entities relate.
OpenCorporates, the world’s largest open database of legal entity data, will make its debut at Money20/20 USA (Oct 26–29, 2025, Las Vegas). The company will showcase how standardised, transparent, official legal entity data empowers fintechs, RegTechs, and financial institutions to meet regulatory demands, enhance KYC/KYB, and combat financial crime. Visit OpenCorporates at Booth #19703 for live demos and exclusive insights.
The Santo Tequila case is a classic example of double brokering - when one freight company passes a shipment to another, and then another. At some point in the chain, a non-existent “carrier” steps in. These so-called phantom carriers look credible: they have names like Acme Logistics LLC, registered phone numbers, even government-issued identification numbers. But behind them, there’s often no legal entity, no employees, and sometimes not even a real address. They win contracts, move goods - and then disappear.
Companies, banks, and regulators can no longer rely on a single dataset or a single rulebook. They need to bring multiple pieces of information together to understand risk and make informed decisions. This is where legal-entity knowledge graphs (LE-KGs) come in. They act as the “map” of companies and their connections, showing ownership, control, and risk.
Collecting, cleaning, and maintaining company data directly from 50 separate US state registries (plus DC and territories) is possible - but only with significant, ongoing expense in money, time, and specialist effort. Variation across states in data availability, formats, fee models, and cadence - paired with legal/licensing friction - turns “do‑it‑yourself” into a long, laborious program rather than a one‑off project.
When onboarding moves beyond one market, the first thing to break isn’t your policy, it’s the process around it. This post shares what we’ve learned helping risk & compliance teams verify businesses globally, with practical steps you can drop straight into your roadmap. The result is fewer manual reviews, faster time‑to‑decision, and an audit trail you actually trust.
Portfolio owners, lenders, and prop-tech platforms are all grappling with the same fundamental problem: how do you make smart investment and lending decisions when you can't see who really owns what?
Across healthcare, PBMs are being buried in compliance demands. As an executive we spoke to recently put it, "compliance is no longer just difficult, it's downright unmanageable." In this post, you’ll discover why traditional compliance methods are failing, how costly these mistakes really are, and exactly how forward-thinking PBMs are leveraging unified corporate data to fix this liability.
Supply chains are more complex than ever. Global systems are susceptible to disruption due to environmental, geopolitical, financial and other events outside of the control of Enterprise Leaders. Tradeverifyd allows those same leaders and managers to see deep into their supply chains - well past their Tier 1 suppliers - to proactively manage their supply networks before disruptions occur.