Excel Pivot tables can be a pretty handy tool for summarizing and making sense of your data.  In this example, I’ve built a small table to show you how you can use pivot tables to calculate value differences between different dates.  This can come in handy especially when capturing and reviewing day over day, month over month or year over year changes.  In the case below, I’ve shown how you can monitor daily changes in your inventory valuation levels to capture changes in stock levels or value.  You can then use this information to do further investigation from a transactional level to determine why your stock levels may have changed in that day (i.e. cycle counts, purchase order receipts, work order completions, customer RMAs/returns etc.).

Here are a couple of ideas on where you could apply this pivot table concept in everyday business practices (I could spend a long time putting together a comprehensive list so I’ve only added a few here):

 

  • Reviewing production performance between any two years/quarters/months/days.
  • Checking for value change between dates for GL accounts.
  • Reviewing the total number of orders shipped between two days for performance metrics.

 

Let’s have a look at how we can do this!

 

Summarize_With_Pivot_Table_2

Create_PivotAdding_Pivot_Table_Fields

4-NO_SUBTOTALS

4- tabular_form

 

6-7 Calculated Field Creation

8- Final dashboard-pivot-table

 

That’s it!  Let me know in the comments where else you think this functionality would be useful and start thinking about what other types of calculated fields you could use to get some important information out of your data using pivot tables.  Thanks for stopping by!

Cheers,

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