Using V-Look Up in Python to Identify Deleted Customers
In this tutorial, we will explore how to merge two datasets, similar to the V-lookup function in Excel. We’ll work through an example dataset to investigate whether there are any invoices associated with customers who have been removed from the customer table. This could potentially indicate fraudulent activity.
Check out the full post here: Look Up Deleted Customers
Feel free to reach out if you have any questions!
One response
This is a great approach to detecting possible fraud through data analysis! Using a V-Lookup equivalent in Python by combining datasets is a smart way to check for inconsistencies between your customer records and invoices. By identifying invoices associated with deleted customers, you can flag potentially suspicious activity for further investigation.
I have a couple of questions for clarification:
What libraries or tools are you using for this process in Python? Are you utilizing Pandas for data manipulation, or do you have a different method in mind?
How do you handle cases where customer data might be incomplete or where customer IDs could be mismatched due to formatting issues?
Looking forward to your insights!