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Wednesday, June 21, 2023

Discrepancy Analysis (1): A Model Made by Microsoft Excel

 

Suppose you are expected to control the balance of the accounts between the sales of the store network and the accounts receivable in the banking network as follows:




The above flowchart says to us, you should release the customer’s order to conform to the invoice when you receive the bank receipt sent by the customer. 

Nowadays, people are able to make fake receipts by using Artificial Intelligence tools. On the other hand, it is possible that a customer will send you repeated receipts. Thus, you need to take a rapid check of the invoices and all bank accounts before sending the goods to the customer.

This analytic model helps you to find out all discrepancies very soon. 

By using this model, you will take two types of the discrepancy analysis as follows:

1. When there are different amounts of data on the sales and accounts receivable in the banking network

2. When there are the same amounts of data on the sales and accounts receivable in the banking network but the number of repeated amounts is different between the data on the sales and accounts receivable in the banking network

Note: This model does not cover the below conditions:

- If your customer settles the sales invoice in partial payments during a period of time

- The partial payments made by your customer are not exactly equal to the total sum mentioned in the credit section of your bank account

These conditions will be covered by a new analytic model that I will post next time. (See Discrepancy Analysis (2): A Model Made by Microsoft Excel)

How does this model work?

You only need to collect the sales data from all stores and banking data from your entire bank network accompanied by the dates and copy them into appropriate columns of this model.

Note: There are varieties of applications for this analytic model, in which you can compare two columns of texts or two columns of dates. Therefore, before starting, you need to define four titles for columns as shown in the below figure:




Examples:

I copy and paste the data into 4 columns. As you can see, firstly there is not any discrepancy. But I manually changed some of the amounts in column sales and then changed some of the amounts in column account receivable. You can see the results in Discrepancy Analysis_2.

In the next step, I will repeat some of the numbers in both columns. You can find the results in Discrepancy analysis_ 1. For instance, when you see “3 or -3”, it means that there is this amount in both columns but in one column 3 times more than another column.  

Please see below video:



See this Video on youtube:



You can also utilize this model to find out the discrepancies among the texts.

Please see below video:




See this Video on youtube:



If you have any questions, please do not hesitate to send them to my email address: Soleimani_gh@hotmail.com