Conducting Conflict of Interest Testing with Python
In this training session, I demonstrated how to conduct a conflict of interest test using Python by analyzing employee and vendor data. My goal was to identify any employees who shared specific identifying information with vendors.
To perform this test, I looked for matches between key identifiers such as phone numbers, tax IDs, or bank details.
You can find more details in my blog: Audit With Python.
This testing approach is invaluable for auditors and compliance professionals, as it helps uncover potential fraud or conflicts of interest within vendor relationships.
One response
That sounds like an excellent use case for Python in data analytics! Performing a conflict of interest test is crucial in maintaining integrity within organizations, especially when it comes to vendor relations. By comparing employee data against vendor data for shared identifiers like phone numbers, tax IDs, or bank details, you’re effectively identifying potential conflicts that could lead to fraud or ethical issues.
If you haven’t already, it might be helpful to include specific libraries or methods you used in your implementation, such as pandas for data manipulation or NumPy for any calculations. Sharing sample code snippets or the steps you took could greatly benefit others looking to perform similar tests.
Additionally, a discussion around the nuances and challenges you encountered during the analysis (like dealing with data quality issues or how you handle false positives) could be very insightful for your audience. Great work on highlighting this important aspect of auditing and compliance!