Detecting Fraud Using Data Analysis
Detecting Fraud Using Data Analysis
Instructor: Scott Langlinais
Massive data sets within the organization’s systems can hide symptoms of fraud and waste from auditors and control personnel. This tactical session delves into specific methods for auditors, investigators, and finance professionals to highlight symptoms of problems across all company processes. Learn how to apply data analysis skills to effectively test one hundred percent of a transaction population and achieve a positive return-on-investment for your organization.
Who should attend: Auditors, Investigators, Accounting Professionals. This workshop is not about what buttons to click; it is about strategies employed through the use of data analysis. Also, the workshop is software-neutral, meaning participants will benefit whether they use IDEA, ACL, SQL queries, or simply Excel and Access. The instructor will demonstrate techniques that can be handled by all of the programs.
Learning Objectives
Upon completion of this course, participants will understand how to:
Overcome mindsets that prevent us from properly addressing fraud.
Apply a consistent methodology for fraud detection.
Employ data analysis techniques used to successfully detect fraud.
Blend traditional methods of auditing with data analysis techniques.
Incorporate data analysis techniques into routine daily activities to improve detective controls.
Avoid common pitfalls related to data analysis.
Apply data analysis to audits of process areas common to all organizations.
Use data analysis to test 100% of a population instead of a sample.
Apply lessons from case studies to your own unique environment.