Identify data anomalies through a practical statistical approach
Distribution Analysis helps auditors understand how numerical values are spread across a population, highlighting concentration, tails, breakpoints and unusual observations that may deserve review.
Comparing quantile ranges helps determine whether values follow a consistent distribution or whether specific segments show unusual concentrations, gaps or deviations that may require audit review.
This method is useful in audit, internal control and risk analysis when reviewing large sets of numerical values such as invoices, payments, orders, balances or operational measurements.
The tool provides a guided workflow to upload a dataset, select the numerical analysis column and prepare the data for distribution-based analytical review.
The resulting analysis is intended to support audit work by highlighting areas that may deserve further investigation, while preserving the need for professional judgement.
Upload Data for Analysis