Data Mining for Auditors: Data Methodologies II

Data mining and data analytics have become essential for internal auditing success. As the number and sophistication of tools increases, and organizations collect increasing amounts of data, auditors have a wide range of options to improve their risk assessment, planning, fieldwork, and reporting activities.

Topics covered include correlation analysis, concentration testing, data patterns and fraud factors, Beneish M score calculator, and keyword searches for manual journal entries. It also covers duplicate transactions, horizontal and vertical analysis, compliance testing, and several demonstrations including compliance, operational and financial audit tests using Excel functions.

Who should attend:

Compliance Officers, Audit Managers and Directors, Financial, Operational, and IT Auditors, and key operational personnel.

Here are the topics we'll cover.

1. Course Overview
2. Data Methodologies Overview