What controls make audit analytics reliable enough to use in fieldwork?

Reliable audit analytics need controls over source data, transformation, exception logic, access, and review. The auditor should reconcile source extracts to control totals where practical, document filters and joins, review calculations, define thresholds before looking for exceptions, restrict who can edit the dashboard, and retain the version used for the audit.

In a fieldwork setting, a dashboard that identifies duplicate payment risks should show the population, date range, duplicate logic, excluded records, and validation performed. If the analytic joins vendor master data to payment data, the reviewer should check whether the join created missing records or duplicates.

The CIA framing is straightforward: analytics can improve coverage, but the auditor still needs competent evidence that the analytic is complete, accurate enough, and relevant to the audit objective.