[CAFR-Contacts-News] FREE CPE Training: Understand how data mining can prioritize audits and investigations to ensure the most return on investment.

Tue Dec 14 08:30:05 PST 2010

This training event is free (sponsored by the State Controller's
Division - SARS). This is an audio conference to be held at the
Veteran's Building Auditorium. Space is limited to 100 people.

Registration for this event will be coordinated through iLearn Oregon (
https://ilearn.oregon.gov <https://ilearn.oregon.gov/> ); additional
information is listed in the "Registration" section of the below
announcement. 

If you have questions, please contact Aaron Wallace at 
Aaron.Wallace at state.or.us <mailto:Aaron.Wallace at state.or.us>  or
503-373-7277, ext. 281.  

Thank you.    

________________________________

Needles in a Haystack-Data Mining and Predictive Analytics to Prioritize
Leads and Highlight Risk for Investigators and Auditors
Jan. 12, 2011 - 2 CPE Hours Available!

AGA is pleased to announce a new topic to our audio conference
schedule-data mining for investigators and auditors.

Government investigators and auditors are often overwhelmed by high
volumes of data and can perform only ad-hoc analyses and queries to find
areas of potential risk and fraud. This audio conference will reveal how
data mining can prioritize audits and investigations on the highest
value leads or risk areas to ensure the most return on investment. Data
mining uses proven statistical techniques to identify anomalous
transactions, contracts or people to rank the most likely fraudulent
cases for investigation or audit. Predictive modeling employs
statistical models to learn from past audits and investigations to
predict, in real-time, which new cases are most likely to be improper or
fraudulent.

Searching for fraud is like looking for needles in a haystack, and
specialized techniques are needed to succeed. When beginning a
predictive modeling project, analysts almost always have relatively few
known instances of fraud with which to represent the problem in the
training phase of building the model. Some fraudulent cases that have
escaped detection are mislabeled as valid, which adds to the challenge
of distinguish between the two. Statistical outliers in the data, which
are signs of unusual activity, are fruitful places to search for fraud,
but a typical "alert" system built only on these will have far too many
"false alarms," or false positives, to be useful in practice. In this
audio conference, our presenters will show how to make real advances
despite these challenges.  

To share their practical experience in data mining, audits and
investigations are John Elder, Ph.D., CEO and founder of Elder Research,
Inc., a thought leader in the field of data mining and predictive
analytics, an award-winning book author and a frequent keynote speaker
at conferences; John V. Kelly, CGFM, CPA, CFE, director of Forensic
Audits, Office of Inspector General, U.S. Department of Homeland
Security; and Edward Slevin, CISA, director of Computer-Aided Assessment
Techniques, Office of Inspector General, U.S. Department of Education.

Please join us for two hours of lively discussion about this important
and timely topic. In addition to the speakers' commentary, about 20
minutes will be set aside for Q & A so that the participants can ask the
speakers questions and share their own experiences.

Date: Wed., Jan. 12, 2011

Time: 11-12:50 p.m. Pacific Standard Time

Learning Objectives: To understand how data mining can prioritize audits
and investigations on the highest value leads or risk areas to ensure
the most return on investment.

Prerequisite: Basic familiarity with data mining, risk, audit and
investigations

Advance Prep: None required      

Field of Study: Auditing 

CPE: Two credit hours

Cost:                FREE (Sponsored by SCD)

Registration:    https://ilearn.oregon.gov <https://ilearn.oregon.gov/> 

Registration for this event will be coordinated through iLearnOregon
using the link provided above.  You will need an active iLearnOregon
account to complete the registration process.  If you do not already
have an iLearnOregon account, you can find information on how to create
an account (for both state & non-state personnel) on the main log-in
page for iLearnOregon.  Once you have logged-in you will find a link for
"How to Register For A Course" in the left navigation panel under
"iLearnOregon Help Center."  