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MIS5208 - Spring 2020 - Data Analytics for IT Auditors

DATA ANALYTICS FOR IT AUDITORS AND CYBERSECURITY

Data Analytics for IT Auditors

MIS 5208.001 ■ Spring 2020 ■ Caswell Anderson
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  • Schedule 2020
    • ACL
      • Part 01 – Introduction to the Course and to Fraud
      • Part 02 – Fighting and Preventing Fraud
      • Part 04 – Data Driven Fraud Detection – Investigating Concealment and Money Laundering
    • ACL Labs
      • Lab 01 – Install ACL / Review and Work with On-Line Documentation
      • Lab 02 – ACL Analytics Basics | CPE (1.5)
      • Lab 03 – Fraud Scandals of Note
      • Lab 04 – ACL Analytics Foundations (CPE) (ACL 101 V4 CPE)
      • Lab 05 – Remediating Issues & Reporting Results (CPE) (ACL 105 V1 CPE)
      • Lab 06 – ACL Analytics Introduction to Scripting (CPE) (ACL 106 V1 CPE)
      • Lab 07 – Basics of Datetime Fields Learning Series (Basic-Intermediate) (ACL 210)
      • Lab 08 – Basics of Datetime Fields Learning Series (Basic-Intermediate) (ACL 210) (Continued…)
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    • Mid-Term Exam
    • Final Exam
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  • WEBEX

Week 2 blog post: The Use of Data analysis in Fraud detection

February 7, 2018 by Caswell Anderson

In today’s business environment, productivity increase is required from every part of the company. Fortunately the needs for an increased efficiency can be solved with data analysis. As IT is constantly growing, there will be more and more Computer aided fraud.

However modern software and computer assisted tools help auditors do their job better by focusing on areas that pause the greatest threats. Computer-aided tools however are not only used by auditors or fraud investigators. One great advantage of using audit software is being able to develop custom best practices for the audit of various business processes. Chapter 3 of David Coderre’s Computer-aided fraud shows how we can use computer-assisted techniques to detect fraud.

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