Formula Forensics 040 – Apportioning Sales by Criteria

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A few weeks back in the Chandoo.org Forum Melvin asked about Apportioning Sales based on Division and Status to the current sales by store.

Today we will examine how this works and how to develop a solution for the problem.

Apportion/ing

Apportion means to assign or distribute.

In a court the Judge may apportion blame for an accident eg: 50% to the driver, 30% to mechanical failure and 20% to the road conditions, The Judge is assigning or distributing the blame as he deams appropriate.

This is what Melvin wanted to do with his sales. He wanted the sales distributed according to Division and Status based on the current sale by store.

Lets start simple and look at how we can distribute sales on a simple model first.

Let say we have a Distributorship and we buy and sell oranges.

We buy oranges from a supplier and distribute them to 3 stores, Store A, Store B & Store C

We received 1,000 oranges and they were sold as follows

FF40f

We can see that each store received differing percentages of the original supply:

FF40g

50% = 500/1000

30% = 300/1000

etc

A week later the supplier give us another 200 oranges and we want to distribute them based on the previous sales

So the new batch of 200 oranges will be distributed according to these previous percentages

FF40h

100 = 200 x 50%

60 = 200 x 30%

etc

That is as simple and as complicated as apportioning is.

Melvin’s Problem

When we look at Melvin’s problem he has a more complex set of data

You can follow along using a sample file: Download Sample File

FF40a

We can see that Melvin has 14 stores located in 4 Divisions (N, S, W & C) and each can have a status of Open or Open1

But if we simplify this and look at one set of data we can devise a formula which will adjust to each set of data

Lets develop a formula for cell F11 which is dealing with Store 1 in the N Division and has a Status of Open

We see it has sales of 100 (Cell E11)

Total sales of Division N and status Open are 600 (100+100+100+150+150) highlighted below (Lower table)

Looking at the Upper Table we can see that we need to distribute 200 units based on the Division N and Status Open (Cell C4)

FF40b

So we need to distribute 200 units across the 5 stores with Total sales of 600

We know that Store  1. had sales of 100 in cell E11

The Total Sales of Stores in Division N and Status Open can be obtained using a Sumifs function

=SUMIFS($E$11:$E$24, C11:$C$24, $C$11, $D$11:$D$24, D11)

=600

So the proportion of Store 1’s sales 100 to Total Sales ( Division N and Status Open ) 600 is 100/600 = 16.66%

This is calculated by

=E11/SUMIFS($E$11:$E$24, $C$11:$C$24, C11, $D$11:$D$24, D11)

=0.1667

=16.67%

Note: We leave the references to  C11, D11 & E11 variable, so that when the formula is copied down it will refer to the next row

We can use an index/match formula to get the 200 based on the criteria from row 11

=INDEX($C$4:$D$7, MATCH(D11,$B$4:$B$7,0), MATCH(C11,$C$3:$D$3,0))

What this is doing is doing a 2D Lookup in the Range $C$4:$D$7

It is looking up the Division Row no. MATCH(D11,$B$4:$B$7,0)

and looking in the Status Column No. MATCH(C11,$C$3:$D$3,0)

Note: Once again we leave the references to  C11 & D11 variable, so that when the formula is copied down it will refer to the next row

So the proportion of the 200 sales attributable to Store 1 is:

=Distribution Qty * Actual Sales / Total Sales

=INDEX($C$4:$D$7, MATCH(D11, $B$4:$B$7, 0), MATCH(C11, $C$3:$D$3, 0)) * E11 / SUMIFS($E$11:$E$24, $C$11:$C$24, C11, $D$11:$D$24, D11)

= 33.33

FF40c

 

We can now copy this down to all the cells matching our criteria of Division N and Status Open

FF40d

Notice that the total matches the total to be distributed 200 showing that the formula is working

Although we copied the formula down to the cells that had matching criteria each part of the formula was setup to work on the appropriate criteria for the store in the current row

If we now copy F11 down to the other stores you will see that in fact all the stores sales have been apportioned according to the correct criteria.

FF40e

eg: If we look at Stores 7, 8 & 9 we can see that they are in the W Division and have a Status of Open1

The distributed Proportions are each 16.67, totaling 50, which matches the distribution in the Upper table.

You may also notice that Division C has not been accounted for.

I assume that Melvin has sent us a subset of the data and that is why it is missing.

 

Download

You can download a copy of the above file and follow along, Download Sample File.

 

A Challenge

Can you solve the problem another way ?

Post your solutions in the comments below.

 

Other Posts in this Series

The Formula Forensics Series contains a wealth of useful solutions and information specifically about how Normal Formula and specifically Array Formula work.

You can learn more about how to pull Excel Formulas apart in the following posts: http://chandoo.org/wp/formula-forensics-homepage/

If you have a formula and you want to understand how it works contact Hui and it may be featured in future posts.

 

 

 

 

 

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13 Responses to “Using pivot tables to find out non performing customers”

  1. David Onder says:

    To avoid the helper column and the macro, I would transpose the data into the format shown above (Name, Year, Sales).  Now I can show more than one year, I can summarize - I can do many more things with it.  ASAP Utilities (http://www.asap-utilities.com) has a new experimental feature that can easily transpose the table into the correct format.  Much easier in my opinion.

    David 

    • Chandoo says:

      Of course with alternative data structure, we can easily setup a slicer based solution so that everything works like clockwork with even less work.

  2. Martin says:

    David, I was just about to post the same!
    In Contextures site, I remember there's a post on how to do that. Clearly, the way data is layed out on the very beginning is critical to get the best results, and even you may thinkg the original layout is the best way, it is clearly not. And that kind of mistakes are the ones I love ! because it teaches and trains you to avoid them, and how to think on the data structure the next time.
     
    Eventually, you get to that place when you "see" the structure on the moment the client tells you the request, and then, you realized you had an ephiphany, that glorious moment when data is no longer a mistery to you!!!
     
    Rgds,

  3. JMarc says:

    Chandoo,
    If the goal is to see the list of customers who have not business from yearX, I would change the helper column formula to :  =IF(selYear="all",sum(C4:M4),sum(offset(C4:M4,,selyear-2002,1,columns(C4:M4)-selyear+2002)))
     This formula will sum the sales from Selected Year to 2012.

    JMarc

  4. Elias says:

    If you are already using a helper column and the combox box runs a macro after it changes, why not just adjust the macro and filter the source data?
     
    Regards

  5. RichW says:

    I gotta say, it seems like you are giving 10 answers to 10 questions when your client REALLY wants to know is: "What is the last year "this" customer row had a non-zero Sales QTY?... You're missing the forest for the trees...
    Change the helper column to:
    =IFERROR(INDEX(tblSales[[#Headers],[Customer name]:[Sales 2012]],0,MATCH(9.99999999999999E+307,tblSales[[#This Row],[Customer name]:[Sales 2012]],1)),"NO SALES")
    And yes, since I'm matching off of them for value, I would change the headers to straight "2002" instead of "Sales 2002" but you sort the table on the helper column and then and there you can answer all of your questions.

  6. Kevin says:

    Hi thanks for this. Just can't figure out how you get the combo box to control the pivot table. Can you please advise?
     
    Cheers

  7. Kevin says:

    Thanks Chandoo. But I know how to insert a combobox, I was more referring to how does in control the year in the pivot table? Or is this obvious?  I note that if I select the Selected Year from the PivotTable Field List it says "the field has no itens" whereas this would normally allow you to change the year??
     
    Thanks again

  8. Kevin says:

     
    worked it out thanks...
    when =data!Q2 changes it changes the value in column N:N and then when you do a refreshall the pivottable vlaues get updated 
     
    Still not sure why PivotTable Field List says “the field has no itens"?? I created my own pivot table and could not repeat that.

  9. Bermir says:

    Hi, I put the sales data in range(F5:P19) and added a column D with the title 'Last sales in year'. After that, in column D for each customer, the simple formula

    =2000+MATCH(1000000,E5:P5)

    will provide the last year in which that particular customer had any sales, which can than easily be managed by autofilter.

    • Bermir says:

      Somewhat longer but perhaps a bit more solid (with the column titles in row 4):

      =RIGHT(INDEX($F$4:$P$19,1,MATCH(1000000,F5:P5)),4)

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