Data Mining for Auditors: Data Methodologies II

Internal Audit
Data Mining for Auditors: Data Methodologies II Overview
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Overview

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

Learning Style

On Demand

Level

Intermediate

Includes

Assessment

Who this course is for

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

NASBA Certified CPE

6 credits

Field of Study

Auditing

Length of course

6h

Prerequisites

Risk Audit SchoolFundamentals of Internal Auditing
or equivalent experience

Advanced Preparation

None
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ACI Learning is registered with NASBA

ACI Learning is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: https://www.nasbaregistry.org/