Overview
In this course, we will explore the various types of data - both structured and unstructured - used in conducting fraud risk investigations and proactive monitoring. We will explore the various tools available on the market and techniques to confirm completeness and accuracy of the data before the analysis begins. The course will cover the process for selecting the right data sources to align with the various risks as well as pitfalls to avoid when preparing the data for analysis.
Prerequisites
Introduction to Forensic Data Analytics
Objectives
- Understand various data sources available to accountants for use in forensic data analysis
- Differences between structured vs. unstructured data
- Various extract, transform and load tools an techniques available
- How to select the right data sources for the job
- Key risks and pitfalls to avoid
Highlights
Understand various data types
Structured vs. unstructured data
Completeness and validation testing
Selecting the right data sources for the job
Risks and pitfalls to avoid
