How does iDBQuery help a risk analyst?
A risk analyst can use iDBQuery to detect anomalies, exposures and outliers in plain language across transactional and reference data, with every figure cited to its source. It joins those sources into one live model, so investigations and risk reporting rest on traceable evidence rather than sampled spreadsheets.
A risk analyst hunts for the unusual across large, connected datasets — but assembling those datasets is half the battle. iDBQuery joins your transactional, customer and reference data into one live model and answers in plain language, citing every figure to the exact source row so findings are evidence-grade.
Questions a risk analyst asks iDBQuery: - Which transactions this month are statistical outliers by amount or frequency? - Show accounts with activity patterns that break their normal baseline. - What is our exposure concentration by counterparty, sector or region?
Because every answer is traceable to source rows, an escalation or a control finding comes with the underlying records attached, not a sampled extract. iDBQuery surfaces anomalies, outliers and duplicates across the full dataset, lets you drill from a flagged total into the specific transactions, and shows the SQL it ran so the logic is auditable. It runs in your own VPC or air-gapped with role-based access, keeping sensitive risk data inside your controls. The Analyst agent can investigate an open pattern on its own and return an evidence-backed summary — letting analysts cover more ground with fewer blind spots.
Updated 2026-06-22