Making a Dynamic Dashboard in Excel [Part 2 of 4]

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This is a guest post by Myles Arnott from Clarity Consultancy Services – UK.

Part 1 of dynamic dashboard tutorial introduced the purpose and general functionality of the model. In this post we are going to look at the first 4 charts and see how they work.

Chart 1 and Chart 2 : Flexible pie charts

These are Dynamic pie charts with the option to select the KPI, period and product/salesperson to be analyzed. As both pie charts use the same functionality I will focus on the chart in CH1.

Dynamic Sales Chart - Excel Dashboard - Demo

The key to the flexibility of these otherwise simple pie charts is taking a little time to set up the chart source data.

1) Selection criteria

We want to be able to select data by product group and month and be able to choose the key performance indicator to report. We also want to be able to report on all product groups and for all periods.

To ensure that only valid criteria are selected, each selection is driven from a data validation list driven from a named range:

data validation in dynamic excel dashboard - example

2) The formula

The main formula being used is the SUMIFS(Sum range, Criteria range, criteria,…). This was a new formula in 2007 and provides a simpler solution to the SUMPRODUCT() formula.

So the formula in cell D24 in CH1 is:

=SUMIFS(INDIRECT($C$21),Sales_Per,B24,Product,$C$19,Period,$C$20)

Right, lets break it down for you:

Sum range

To create flexibility around the values returned I have used the INDIRECT formula to reference a named range. The named ranges are Count, Total_sales KPI_1 and Total_GP. I have then referenced these three named ranges within the data validation list.

Criteria range 1 and criteria 1

This matches the sales person in B24 against the list of sales people (named range Sales_Per) in the data tab.

Criteria range 2 and criteria 2

This matches the product in C19 against the list of products (named range Product) in the data tab.

Criteria range 3 and criteria 3

This matches the period in C20 against the list of periods (named range Period) in the data tab.

The result of bringing all of this together is that the value returned is:

  • The value range as defined in C21
  • The sales person as defined in B24
  • The product as defined in C19
  • The period as defined in C20

3) The final step – Dealing with “All”

The final element to enable the fully flexibility is to allow “all” to be selected for product and period. This gives you four options:

  • Product and period specified
  • Product specified, all periods
  • All products, period specified
  • All products and all periods

To manage this I have created a column for each option with a variation of the formula defined above. Finally I used a column as source data for the chart which pulls though the relevant information based on the selections made. They look like this:

Dynamic Sales Chart - Calculations

I leave the interpretation of the actual formulas to you.

CH3 and CH4 Flexible line charts

Charts 3 & 4 - Dynamic Dashboard

These are dynamic line charts with the option to select the KPI, period and product/salesperson to be analyzed. As both line charts use the same functionality I will focus on the chart in CH3.

1) Selection criteria

This uses the same functionality as used in the pie chart illustration.

2) The formula

Once again the basic formula is the same as in the pie chart illustration.

The additional step is to allow flexibility around the period to display for the trend. This is achieved by selecting a period from a validation list. The following periods are then looked up from the validation list using HLOOKUP and MATCH. First take a look at how it works:

dynamic line chart demo

Now the formula is:
=HLOOKUP("YTD",Period_List,MATCH($C$23,Period_List2,0)+2,FALSE)

How this formula works?

C23 contains the first cell from which starting month can be changed. Based on that, we need to increment the month value for subsequent columns by 1, 2 and 3. The above is the formula for first such month. If you look at the downloaded file carefully, you will know why this works. 🙂

3) The final step – Dealing with “All”

As with the pie charts illustration the final step is to enable the user to select all. As the functionality as very similar to that used in the pie charts I will allow you to work through how it works.

Creating other Dynamic Charts in the Dashboard:

Links for how to create the other charts in this report can be found below:

  • Boxcharts [Link]
  • Scrolling report [Link]
  • Competitor analysis [Link]
  • Use of camera tool [Link]
  • In cell microcharts [Link]

What Next?

We now know how to create the charts for the Dynamic Dashboard. Next week we will look at Part 3 VBA behind the Dynamic Dashboard, by studying a simple example.

Download the complete dashboard

Go ahead and download the dashboard excel file. The dynamic dashboard can be downloaded here [mirror, ZIP Version]

It works on Excel 2007 and above. You need to enable macros and links to make it work.

Added by PHD:

Myles has taken various important concepts like Microcharts, form controls, macros, camera snapshot, formulas etc and combined all these to create a truly outstanding dashboard. I am honored to feature his ideas and implementation here on PHD. I have learned several valuable tricks while exploring his dashboard. I am sure you would too.

If you like this tutorial please say thanks to Myles.

Related Material & Resources

This is a guest post by Myles Arnott from Clarity Consultancy Services – UK.

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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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