Jakarta, Indonesia - Using Data Analytics to Detect Fraud - 12/2017



 

CPE Credits: 16 

Jakarta, Indonesia | December 4-5, 2017    

According to the ACFE's 2016 Report to the Nations on Occupational Fraud and Abuse, proactive data monitoring and analysis is among the most effective anti-fraud controls. Organizations which undertake proactive data analysis techniques experience frauds that are 54% less costly and 50% shorter than organizations that do not monitor and analyze data for signs of fraud. 

Using Data Analytics to Detect Fraud will introduce you to the basic techniques of uncovering fraud through data analysis. Taking a software-independent approach, this two-day course provides numerous data analytics tests that can be used to detect various fraud schemes. You will also discover how to examine and interpret the results of those tests to identify the red flags of fraud. 

 

Course Details 

Course Outline 

Event CPE FAQ 

Hotel & Venue Information  

Grand Hyatt Jakarta                                                                                             
Jl MH Thamrin Kav 28-30                                                                                              
Jakarta 10350 Indonesia                                                                                          
No room block established.


                                

Registration & Fees  

Members: $795
Non-Members: $945

Early Registration Deadline*: November 3, 2017                                                                                                                                                                 
Register by the Early Registration Deadline to SAVE an additional $95!* 

Course Leader  

TBD

      

Satisfaction Guarantee  

ACFE seminars are unmatched in scope and effectiveness and backed by our unconditional satisfaction guarantee. If you attend an ACFE event and are not completely satisfied, please contact an ACFE Member Services Representative at MemberServices@ACFE.com or call (800) 245-3321 / +1 (512) 478-9000.

 

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*Payment must be received by November 3, 2017 to receive the early registration discount.