Data Mining for Auditors: Data Methodologies I

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 pivot tables, Poisson distribution, binomial distribution, linear regression, moving averages, pivotal points of change analysis, measures of dispersion, mean dispersion analysis, and several demonstrations.

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