Wednesday, June 20 | 8:30-9:45 AM
Recommended Prerequisite: Familiarity with data analytics concepts
Field of Study: Auditing
For the last decade, data analytics has been a ubiquitous topic in fraud conferences and industry conversations worldwide. However, as much as we tout the benefits of analytics in detecting fraud, our discussions and demonstrations often lack detail or address only a finite number of generic fraud schemes, specifically those found in payroll, purchasing and expense reporting. This session will discuss how to build in-house data-mining routines to discover threats that are industry-specific and detectable through the examination of nonfinancial data sources. It will stress the importance of scouting your organizational data landscape, the advantages of learning basic SQL and database skills, and the pitfalls of under-engineered algorithms and over-engineered visualizations.
You Will Learn How To:
Manager – Global Investigations and Security Analytics, United Airlines
As Analytics Manager within United Airlines’ Corporate Security & Global Investigations Department, John Enders provides guidance to investigators and security personnel as they seek to more effectively use the company’s data resources to monitor fraud and security risks. Some of these risks include ticketing fraud, travel agency fraud, smuggling, trafficking, cash skimming, physical theft and aviation security threats. In addition to crafting queries and analytics-based testing algorithms and designing the resulting dashboards for the security team, he leads independent investigations and participates in fact-finding and admission-seeking interviews.
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