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DataVisuals — Structured BSA/AML and fraud case-decision records: per-alert typology, owner assignment, documented disposition rationale, investigation log, evidence and SAR filing artifacts, committee signoff, and queue aging/cycle-time metrics (open alerts, past-due, SARs filed YTD, average close days).. Micro-scale vendor, high schema value / low volume: a single-founder shop selling a BSA/AML decision-governance workflow to community banks and credit unions. Its asset is the standardized alert-to-SAR record model and disposition-rationale corpus, not a large historical dataset.. Use cases…
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Structured BSA/AML and fraud case-decision records: per-alert typology, owner assignment, documented disposition rationale, investigation log, evidence and SAR filing artifacts, committee signoff, and queue aging/cycle-time metrics (open alerts, past-due, SARs filed YTD, average close days).
Scale Per-client case corpus is modestFrom 2 yearsCoverage Financials
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DataVisuals — Structured BSA/AML and fraud case-decision records: per-alert typology, owner assignment, documented disposition rationale, investigation log, evidence and SAR filing artifacts, committee signoff, and queue aging/cycle-time metrics (open alerts, past-due, SARs filed YTD, average close days).. Micro-scale vendor, high schema value / low volume: a single-founder shop selling a BSA/AML decision-governance workflow to community banks and credit unions. Its asset is the standardized alert-to-SAR record model and disposition-rationale corpus, not a large historical dataset.. Use cases…
DataVisuals offers (Alternative, Reference) — Per-client case corpus is modest; the demo view shows 47 open alerts, 4 past 30-day, 31 SARs filed YTD, and a 12-day average close — implies low thousands of fully-documented alert/SAR records per institution per year, so a mid-hundreds-of-institutions deployment would be needed to reach a 100K+ record corpus..
AML/BSA quality-metric benchmarking (alert close time, SAR backlog, filing rates, disposition consistency across similar typologies); training and evaluation sets for AML alert-triage and SAR-narrative drafting models; examiner-readiness / regulatory audit evidence; typology classifier and false-positive-reduction tuning data.
The data is with 2 years of history.
Coverage spans US; Diversified Banks, Financial Exchanges & Data; alternative, reference; equities.
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