Case study: The modern MDM strategy of a leading global investment firm

Master Data Management (MDM) is undergoing a profound transformation, transitioning from a back-office support function into a critical strategic enabler of compliance, risk management, and business intelligence. A leading global investment firm, specializing in complex asset management, third-party administration, and portfolio operations, recognized this operational shift. Operating from North America with a massive international footprint, the enterprise manages relationships across a vast ecosystem of third-party funds, internal legal entities, global suppliers, and corporate prospects. By moving away from outdated "trust-based" proprietary identifiers and embracing a cloud-native architecture powered by "verification-based" official registry data, the firm successfully revolutionized its data governance and established a definitive "golden record" across the enterprise.

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Why data provenance is the only defence against personal liability

While the broader fintech market prioritizes "move fast and break things" efficiency, the modern Chief Compliance Officer (CCO) faces a different reality: in this industry, when things move too fast it’s the law that gets broken. For years, compliance was often viewed as a cost center. But a structural transformation in global regulation has fundamentally changed this. Through the "Monaco Memos," the US Department of Justice (DOJ) instructed prosecutors to ensure there are no longer two sets of rules... one for corporations and executives, and another for the rest of America.

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Case study: How Datastruct replaced manual checks with reliable entity intelligence

Manual Secretary of State (SOS) research was slowing teams down, creating data gaps, and increasing compliance risk. Relying on manual, state-by-state desktop research and ad hoc tracking was time-consuming, inconsistent, and difficult to scale, leading to outdated information and operational inefficiencies. This was why it was critical to automate access to accurate, real-time entity information as the business scaled and recovery volumes grew.

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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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