
Data Analytics Test Selector Tool
Match each risk to a practical data test, the fields it needs and whether it suits one-off audit work or continuous monitoring.
PDF • 6 Pages • Free

Decide which audit tests should become monthly, weekly or near-real-time monitoring routines — based on risk, repeatable logic, reliable data and clear ownership.
© Salih Ahmed Islam

Match each risk to a practical data test, the fields it needs and whether it suits one-off audit work or continuous monitoring.
PDF • 6 Pages • Free

Design repeatable tests that flag exceptions reliably — choosing suitable risks, defining exact logic and thresholds, assigning investigation owners, piloting with real data and tracking trends.
PDF • 6 Pages • Free

Design and document a repeatable monitoring test: risk statement, data fields and rule logic, alert threshold and tolerance, false-positive handling, alert reviewers, evidence retained and escalation.
PDF • 6 Pages • Free

Start with the audit question, not the software: define and validate the data, design risk-based tests, investigate exceptions in context and save logic for reuse or monitoring.
PDF • 6 Pages • Free