Fraud Data Analytics: Anti-Bribery and Corruption, Financial Statements, and JEs
Overview
Fraud data analytics is an effective tool to identify anomalies in large data sets and it enables auditors to identify red flags for further investigation. By applying an investigative approach that pairs transactions with additional evidence, auditors can help their organizations detect anomalies before errors or fraud become larger.
Topics covered include schemes and associated red flags committed by a company, fraud data analytics test design, interpreting test results and follow-up for anti-bribery and corruption (ABC), financial statements and journal entries.
Who should attend:
Financial, Operational, Internal, IT, and External Auditors; Audit Managers; Fraud Investigators and Managers; Risk and Compliance Managers and Officers; Information Security professionals.
Here are the topics we'll cover.
- Course Overview
- Anti-Bribery and Corruption (ABC)
- Financial Statements - Journal Entries
Learning Style
Level
Includes
Assessment