Enhanced Fraud Detection with Data Analytics
How fraud can be detected using automated data analysis techniques CPE = 1
Controls that are designed to mitigate the risk of fraud are not perfect. Enterprise software such as Oracle and SAP may have built-in controls, but they are limited in scope to the data and processes that the software "touches". The most successful fraudsters know how to exploit interfaces between different processes and systems. Furthermore, the typical fraud case persists for 14 months prior to detection*.
Delivery Method: Self-Study
AuditNet® is the Global Resource for Auditors, and serves the global audit community as the primary communications resource with an online digital network where auditors share resources, tools, and experiences including audit work programs and other audit documentation.
As the first online portal for the global audit community, AuditNet® has been at the forefront of audit websites dedicated to promoting the use of technology. http://www.auditnet.org/
Jim Kaplan, the founder of AuditNet®, became a Certified Internal Auditor in 1984. He has continuously promoted and encouraged the use of technology and the Internet for audit productivity.
As an active member of the IIA, he has held many positions at the local and International level. He is a founding member of the Northern Virginia Chapter and served as Chapter President in 1989. He retired from his government audit director position in 2005. He is the founder and President of AuditNet®, the global resource for auditors, and has been identified as an Internet for Auditors pioneer. Jim's contributions to the profession were recognized by the IIA (2007 Bradford Cadmus award) and the Association of Local Government Auditors (Lifetime Achievement Award). In addition to the IIA, he is a member of the Association of Local Government Auditors and the Association of Certified Fraud Examiners.