Tag Archives: graph analytics

From Graph Insight to Action: Decisions, Controls & Remediation in Financial Services Platforms

This article argues that financial services platforms fail not from lack of insight, but from weak architecture between detection and action. Graph analytics and models generate signals, not decisions. Collapsing the two undermines accountability, auditability, and regulatory defensibility. By separating signals, judgements, and decisions; treating decisions as time-qualified data; governing controls as executable policy; and enabling deterministic replay for remediation, platforms can move from reactive analytics to explainable, defensible action. In regulated environments, what matters is not what was known: but what was decided, when, and why.

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Networks, Relationships & Financial Crime Graphs on the Bronze Layer

Financial crime rarely appears in isolated records; it emerges through networks of entities, relationships, and behaviours over time. This article explains why financial crime graphs must be treated as foundational, temporal structures anchored near the Bronze layer of a regulated data platform. It explores how relationships are inferred, versioned, and governed, why “known then” versus “known now” matters, and how poorly designed graphs undermine regulatory defensibility. Done correctly, crime graphs provide explainable, rebuildable network intelligence that stands up to scrutiny years later.

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