
AuditNet® and FraudAware® are pleased to present this unique "how to" training series of Webinars on data mining for fraud.
Three of the leading fraud
and audit associations, the AICPA, ACFE,
and IIA, recommend the use of data mining technology to detect fraud.
As part
of its ongoing Webinar Program, Fraud-Auditing Skills Training (FAST),
AuditNet® and FraudAware® are co-hosting a unique Webinar
Series,
“Detecting, Preventing and Auditing Fraud Using Data Mining
Techniques”.
This essential
“how-to” series of educational events is offered in response to
the high and rapidly increasing demand for knowledge about how to
efficiently and effectively detect fraud using today’s top audit
automation tools.
Attendees—comprising
internal auditors, external auditors, senior financial executives,
compliance officers, investigators and legal counsel—will gain a unique
body of step-by-step guidance to understand these tools to detect
incidents
of all major frauds threatening organizations today.
The 5-Webinar series
is a cost-effective and convenient educational program that attendees
will experience from the comfort of their office, on the road, or their
home — for a
fraction of the price of traveling to and attending an exhausting two
or three-day on-site conference.
This material is presented in Webinar format on CD-ROM so that you can
learn at your pace pausing the presentation to meet your needs.
Detecting and Preventing
Payroll Fraud Using Data Mining
is first of this 5-Webinar
series.
Please
make certain you have
speakers on or
are using a headset
COURSE DESCRIPTION:
Ghost employee schemes ... Claiming for overtime not
worked... Giving
oneself a pay raise... Counterfeiting payroll checks...
These are just a few of the increasingly costly payroll schemes ALL
organizations encounter today. And the problem is getting worse.
According to the Association of Certified Fraud Examiners, the average
payroll scheme cost $49,000 in 2008; by 2010 that figure had
skyrocketed by almost 50% to $72,000.
Problem: Without the tools and techniques for detecting these frauds,
an organization can be victimized by these schemes for two full years
or longer!
ESSENTIALS OF SUCCESSFUL SELF DEFENSE
The good news: Now there’s a convenient, low-cost
opportunity to learn
how to protect your organization from payroll fraudsters using today’s
user-friendly data mining and analytics software.
By attending the "Detecting, Preventing and
Auditing for
Payroll Fraud Using Data Mining" Webinar of 1 hour
and 42 minutes of video you will
receive expert guidance on:
|
About
the
Guest Presenter

Angela
Clancy, CA
has over six years of international experience in investigative
accounting which includes her current responsibilities as a Manager in
forensic accounting and consulting firm of RGL Forensics. Throughout
her career she has effectively utilized electronic data analysis to
conduct complex accounting investigations.
Angela has also
been responsible for the development of training programs to assist in
the application of investigative data management techniques.
Angela joined RGL
Forensics in 2008 and has since focused her attention on the prominent
forensic and consulting firm’s fraud, insurance and litigation
cases. This has involved her in mortgage fraud, vendor fraud and
fraud kickback schemes. Insurance related cases included the financial
analysis relevant to inventory and business interruption losses.
Liability matters have involved the financial analysis in breach of
contract, medical products liability and construction defect litigation
cases.
Click here to start the "Detecting and Preventing Payroll Fraud Using Data Mining" Webinar
Note: Mac user download Windows
Media Player - click
here

