Yes, there are several ways to approach this analysis in Excel to find out where the increase in receivables is coming from, including the vendors unique to each sheet and those with increased amounts. Here's a step-by-step method you could use:
### Step 1: Consolidate Data
1. **Label the Data**: Ensure both your data sets are labeled clearly, with a unique identifier for each set, for example, by adding a column in each dataset with the date as the identifier.
2. **Combine the Data**: In a new worksheet, combine the data from both the 10/31 and 11/1 sheets into one large table. You can differentiate each set by adding an extra column called "Date" that holds the respective date for each entry.
### Step 2: Prepare for Analysis
1. **Create a Pivot Table**: Insert a PivotTable using this new combined data set.
2. **Configure the Pivot Table**: Drag the "Vendor" field to the Rows area, the "Date" field to the Columns area, and the "Receivables" field to the Values area. This will show you the receivable amount per vendor broken down by date.
### Step 3: Identify Unique Vendors
To identify vendors unique to each date:
1. **Using Conditional Formatting to Find Unique Vendors**: After combining the data into one sheet, use Conditional Formatting to highlight duplicate vendors across both dates. Unique vendors will not be highlighted and can be filtered out.
2. **Using a Formula to Identify Unique Vendors**: You can use a formula to check if a vendor appears only once (which means they are unique to one of the dates). For example, use `COUNTIF` to count occurrences across the combined data and filter by those with a count of 1.
### Step 4: Compare Receivables
For vendors present on both days:
1. **VLOOKUP or INDEX/MATCH for Both Days**: You can perform a `VLOOKUP` or `INDEX/MATCH` to create two new columns next to your combined dataone for the receivable amount on 10/31 and another for 11/1by looking up each vendor in the original datasets. This can then be used to calculate the difference in receivables for each vendor from one day to the next.
2. **Pivot Table for Differences**: Add a calculated field to your pivot table that subtracts the 10/31 amount from the 11/1 amount to find the difference for each vendor.
### Step 5: Analyzing the Data
1. **Filter and Sort**: Use the PivotTable to sort vendors by the amount of increase in receivables. This will bring vendors with the most significant changes to the top.
2. **Use Conditional Formatting**: Use conditional formatting on the difference column to highlight significant increases.
### Step 6: Automate Difference Calculation
1. **IF & ISERROR for New Entries**: To identify new vendors that only appeared on 11/1 and not on 10/31, use a formula that combines `IF` with `ISERROR` around your `VLOOKUP` to check for non-matching vendors on the previous date.
Here's an example of such a formula you could use to find if a vendor from the 11/1 list is new:
=IF(ISERROR(VLOOKUP([VendorID], [10/31_Range], [Column_Number_for_Amount], FALSE)), [11/1_Amount], "Existing Vendor")
In this formula, replace `[VendorID]` with the cell reference containing the vendor's ID, `[10/31_Range]` with the range reference for the 10/31 data, `[Column_Number_for_Amount]` with the number of the column containing the dollar amounts in your 10/31 range, and `[11/1_Amount]` with the amount for the vendor on 11/1.
This setup would let you see which vendors are new on 11/1 and how much their receivables are.
You can also use the same approach with a slight modification to identify vendors that were only on 10/31 and not on 11/1.
By following these steps, you should be able to identify where the increase in receivables is coming from, whether it's due to new vendors, existing vendors with increased receivables, or both. If you are doing repetitive lookups or working with large datasets, make sure to use Excel's data model features or consider using Power Query for efficient handling of large datasets.
