Fraud/Data Analytics

Leveraging Data Mining to Uncover Fraud

May 16 | 2–3:50 p.m. ET | 2 CPEs | FOS: AUDG

Data analytics and big data are fast evolving into the best line of defense against fraud. As fraudsters improve their capabilities, government agencies need to combat emerging threats using an analytics framework that covers good data management and the application of advanced analytics techniques by auditors and fraud investigators.


  • Ken Dieffenbach, office of the inspector general, DoJ
  • Vijay D'Souza, applied research and methods, GAO
  • Rebecca Shea, forensic audits and investigative service, GAO

Moderator: Asif Khan, CGFM, CPA, CISA, FCCA, director, GAO

Learning objectives: Participants will learn about types of data and available tools to look for signs of fraud. They will gain understanding of data analytics processes, the application of various data analysis techniques and evaluating results of the analysis.


Registering a group for 3 or fewer webinars via email/mail? Use this form.
Cancellations and early bird group pricing deadline: May 11, 2018

Program Level: Overview
Prerequisite: None
Advance Preparation: None required
Field of Study: Auditing (Governmental)