Fraud Data Analytics - OAF315

Overview

Fraud data analytics (FDA) is the process that allows the auditor/investigator to evaluate the entire set of data to identify fraud red flags, which are related to a specific fraud scenario; they will then alert the auditor/investigator to focus on certain transactions and areas to review controls, conduct interviews, and examine source documents to determine whether a fraud scheme is occurring or there is simply an error or mistake. Thus, fraud data analytics aims not to identify fraud but rather to identify red flags that would assist the auditor/investigator generate a sample of transactions to examine further in detail. Fraud data analytics does not replace the “old fashion” audit and investigative procedures of gathering relevant and sufficient evidence to conclude whether a fraud scheme has been perpetrated.

Learning Options

Below are the available learning options for this course:

AuditPro

Online On-Demand

This course is available through AuditPro — a subscription-based, on-demand learning platform. As a subscriber, you will have access to an ‘all you can watch’ library of courses that are built in alignment with the National Association of State Boards of Accountancy (NASBA) standards.

Learn more & subscribe

Enterprise Solutions

Tailored Experience

Bring this course to your organization at your convenience. ACI Learning can deliver this instructor-led course for your team at a chosen location or virtually. Alternatively, choose the topic(s) you need and ACI will craft a training solution to keep your team future-proof.

Customize your training

NASBA Certified CPE

24 Credits

Auditing

Why you should take this course

For users with an intermediate knowledge of this topic, and are searching for a deeper understanding of its evolving complexities.

Who should take this course

Financial, Operational, Internal, IT, and External Auditors; Audit Managers; Fraud Investigators and Managers; Risk and Compliance Managers and Officers; Information Security professionals.

Prerequisites

  • Testing for Occupational Fraud
  • Forensic Auditing
  • or equivalent experience

1.    What is Fraud Data Analytics?

    Fraud Overview

    Fraud Schemes and Red Flags

    Fraud Data Analytics Team

    Tools and Resources

    General Testing Methodologies


2.    Fraud Data Analytics Program

    Fraud Risk Assessment (FRA)

    FRA Ratings and Response

    FDA Development

    Data Sources

    Challenges in Using Data Analytics

    Mitigating Skill Gaps with Tools


3.    Cultivating Additional Skills

    Soft Skills Development for Auditors

    Privacy Concerns

    Team Structure

    Navigating Difficult Conversations


4.    Travel and Entertainment

    Schemes

    Associated Red Flags

    FDA Tests Design

    Interpreting Test Results and Follow-Up


5.    Payroll

    Schemes

    Associated Red Flags

    FDA Tests Design

    Interpreting Test Results and Follow-Up


6.    Credit Cards and P-Cards

    Schemes

    Associated Red Flags

    FDA Tests Design

    Interpreting Test Results and Follow-Up


7.    Accounts Payable and Disbursement

    Schemes

    Associated Red Flags

    FDA Tests Design

    Interpreting Test Results and Follow-Up


8.    Shell Companies

    Schemes

    Associated Red Flags

    FDA Tests Design

    Interpreting Test Results and Follow-Up


9.    Procurement

    Schemes

    Associated Red Flags

    FDA Tests Design

    Interpreting Test Results and Follow-Up


10.    Anti-Bribery and Corruption (ABC)

    Schemes

    Associated Red Flags

    Committed by Company

    FDA Tests Design

    Interpreting Test Results and Follow-Up


11.    Financial Statements, Journal Entries, Revenue, and Liabilities

    Schemes

    Associated Red Flags

    FDA Tests Design

    Interpreting Test Results and Follow-Up


12.    Findings and Value

    Analyzing and Presenting Findings

    Quantifying FDA Value


  • Identify the attributes of a Fraud Data Analytics program.
  • Identify the steps to building a Fraud Data Analytics program and team.
  • Identify and correlate red flags to fraud schemes. 
  • Observe Data Analytics scenarios that can be used to identify fraud. 
  • Create test designs that can be used to identify fraud.

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: www.nasbaregistry.org.