When auditors ask “where did this data come from?” Can you answer?

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.

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The tequila heist that exposed supply chain fraud – and the fake companies behind it

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.

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Making sense of risk with legal-entity knowledge graphs

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.

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What you need to know before sourcing data directly from US state registries

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. 

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Scaling KYB across borders: Practical lessons from automating business verification

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.

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How to avoid the $10K-a-day mistake costing healthcare PBMs millions

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.

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Case study: How Tradeverifyd automatically identifies and analyzes supply chain risks

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. 

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Why Japan’s tech-forward economy still struggles with FinTech onboarding

In this post, we're exploring how regulatory fragmentation in one of the world's most advanced economies creates a compliance bottleneck for global fintech platforms. We'll break down the specific challenges of Japanese business verification, compare your main options for getting reliable data, and reveal how the country's ownership secrecy creates fundamental blind spots in risk assessment.

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Case study: Red Oak’s automated approach to detecting Outside Business Activities (OBAs)

At Red Oak, we leverage OpenCorporates to help our clients identify Outside Business Activities (OBAs) by providing access to the world’s largest open database of company information. This integration enables compliance teams to proactively uncover OBAs that may not have been properly disclosed by registered representatives or associated persons. By cross-referencing employee disclosures with OpenCorporates data, firms can detect potential gaps or discrepancies that may otherwise go unnoticed.

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