I’m working on a Accounting question and need guidance to help me study.

in chapter 6, we explored the concept of data-driven fraud detection, which is a more proactive approach to fighting fraud and detecting fraud earlier. To help develop an appreciation of this approach and to gain exposure to some of the tools that enable this approach, here are several exercises that will allow you to experiment and explore these tools. For these exercises, you may use Excel, or, if you are feeling really adventurous, you may even explore with IDEA, which is also being introduced this week for you to learn and use in your Group Project Case Study (for more information about IDEA, see the Group Project Case Study Guidelines and the invitation to the IDEA software and workbook.

Please complete and submit the following exercises:

Chapter 6, Case Studies 2 & 3

Chapter 8, Case Study 2

In addition to your responses to these exercises, please also include a short narrative about the tool or tools you used to complete your work, and your observations about these tools, and what you learned about their capabilities.

The data files for these exercises can be found in the Module for this week.

I am confident that these exercises, along with your textbook and the IDEA software and workbook, will help you learn a great deal about data-driven fraud detection and the tools available.Tips for Fuzzy Lookup with Excel Links to an external site.

Link for Excel Fuzzy Lookup Add-In

Requirements: 12ATTACHMENTSarchive__2_.ziparchive__4_.zipidea_data_analysis_workbook.pdf


Data-Driven Fraud Detection
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