National Audio Conference: Needles in a Haystack - Data Mining and Predictive Analytics to Prioritize Leads and Highlight Risk for Investigators and Auditors
| Date/Time: | 1/12/2011 - 2:00 - 3:50 pm | | Location: | Department of Transportation, 50 Wolf Road, Albany, NY
NOTE: An ID such as a driver license is required for entry into the building. Pleasr arrive early to allow time to check in. | | Topic: | Needles in a Haystack - Data Mining and Predictive Analytics to Prioritize Leads and Highlight Risk for Investigators and Auditors | | Format: | National Audio Conference | | Speaker(s): | John Elder, PhD
John V Kelly, CGFM, CPA, CFE
Edward Slevin, CISA | | Objectives: | To learn how auditors handle a case of fraud | | CPE's: | 2 Credits | | Cost: | FREE for AGA Members
$15 for Non-Members | | Prerequisites: | Some familiarity with internal controls and fraud | | Advanced Prep: | Non Required | | Field of Study: | Auditing (Government) | | NYS License No.: | 00329 | Event Details: DESCRIPTION -
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.
Click here to view or download the event flyer
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Check to ensure that the CPE credits offered meet the requirements of your certifying organization.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Substitutions can be made prior to events; however, non-members will be required to pay the differential rate if replacing a member. Cancellations for most Chapter events are required at least 48 hours in advance of the day of the event. No shows will be billed for the full cost of the event. All payments or government vouchers are due on or before the day of the event. You can mail prepayments to:
AGA New York Capital Chapter
PO Box 1923
Albany, NY 12201
Reimbursement of prepayments will be made if cancellations are made at least 48 hours in advance.
To cancel registration, please contact our registrar, Jessica Lynch at (518) 473-6251 or e-mail her at jessica.lynch@omr.state.ny.us |
Updated by: LBrown on 12/14/2010 7:42:19 AM
|
Make a Payment
