Data Analytics for Fraud Detection for Investigators (INVG8025)

Description:

This seminar is a condensed, quick-paced overview of the principles, tools, techniques, and applications of data analytics to support forensic investigative work in detecting possible fraud. Large amounts of electronic data present an enormous challenge and opportunity to identify trends, correlations, activity, risks, red flags of possible fraud, and otherwise hidden anomalies, or association connections. This seminar will demonstrate the application of software and case studies to demonstrate the power of available tools to extract, sort and identify specific information from databases and the cloud. This seminar will also demonstrate approaches to displaying and visualizing data for reporting and evidential presentation.

Duration:

1 day

Level:

Intermediate

Who Should Attend?

Investigators, Special Agents, Compliance Officers, Inspectors and analysts,

Credits:

0.6 CEU's, 8 CPE's

Learning Outcomes:

Explain the importance of data analytics in support of investigations and fraud detection Identify patterns and outliers quickly to assess possible improper activities Use the Data Analysis Maturity Model to identify or search for specific red flags of fraud Practice on multiple case studies doing analysis with specific forensic data analysis tools List common data analysis tools that can be used in support of investigations Explain various trends in data analysis, data architecture, and data governance and their implications on investigations

No sessions scheduled

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