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heathernicole's avatar
heathernicole
Icon for Continued Contributor rankContinued Contributor
8 years ago
Solved

TopN Customers Rolling 12 months

Ok - So here's what I'm trying to recreate in Power BI (currently an excel file):

 

 

Logically, I get what's occurring in this report - however it's escaping me as to HOW to actually pull this off. 

 

Count of Customers I'm not worried about - I can do that one. 

 

But the Rolling 12 months sales showing ONLY the TOP 20 Customers (Highest sales) - which fluctuates from month to month - I'm hitting a wall. 

I have:

  • Sales Details table that contains outgoing sales (Sales$$)
  • Customer Table (customer name)
  • Calendar Table (Transaction Date)

 

They want me to recreate the report in the image - just automating the process and have the rolling 12 months move on it's own. 

 

ANY ideas in the right direction would be extremely helpful. 

 

Edit:

This is what I have so far:

 

Sales $ RunTot in Month = 
CALCULATE(
	SUM('SALES DETAILS'[Sales $$]),
	FILTER(
		CALCULATETABLE(
			SUMMARIZE(
				'Calendar - Transaction Date',
				'Calendar - Transaction Date'[Transaction Date Month Number],
                'Calendar - Transaction Date'[Year],
                'Calendar - Transaction Date'[Month]
			),
			ALLSELECTED('Calendar - Transaction Date')
		),
		ISONORAFTER(
			'Calendar - Transaction Date'[Transaction Date Month Number], MAX('Calendar - Transaction Date'[Transaction Date Month Number]), DESC,
			'Calendar - Transaction Date'[Month], MAX('Calendar - Transaction Date'[Month]), DESC
		)
	)
)

Which gets me closer but it's restarting at the start of the new year - not quite what I want.

 

  • This is an interesting problem so I gave it a try.  Let me know if it doesn't work for you as I haven't tested these as I don't really have a good sample data set to work off of.  You'll have to translate the column names I used for your model.

    Here is what I came up with for 4 measures assuming you have YearMonth on rows like you have in your result screenshots.

     

    Total Sales = SUM ( FactSales[SalesAmount] )

     Then for total sales last 12 Mo

     

    Total Sales Last 12MO =
    VAR _last12MO =
        DATESBETWEEN (
            DimDate[Datekey],
            NEXTDAY ( SAMEPERIODLASTYEAR ( LASTDATE ( DimDate[Datekey] ) ) ),
            LASTDATE ( DimDate[Datekey] )
        )
    RETURN
        CALCULATE ( [Total Sales], _last12MO )

    then for rolling top 20 sales last 12 months:

     

    Total Sales Last 12 MO Rolling Top20 =
    VAR _last12MO =
        DATESBETWEEN (
            DimDate[Datekey],
            NEXTDAY ( SAMEPERIODLASTYEAR ( LASTDATE ( DimDate[Datekey] ) ) ),
            LASTDATE ( DimDate[Datekey] )
        )
    VAR _Top20Last12MO =
        CALCULATE (
            SUMX (
                VALUES ( DimDate[YearMonth] ),
                CALCULATE (
                    [Total Sales],
                    TOPN ( 20, VALUES ( DimCustomer[CustomerKey] ), [Total Sales] )
                )
            ),
            _last12MO
        )
    RETURN
        _Top20Last12MO

    and finally the percentage is easy:

     

    Percentage of Sales = DIVIDE ( [Total Sales Last 12 MO Rolling Top20], [Total Sales Last 12MO] )

    Let me know if this worked.

  • mattbrice - Hey -  I think this is right. :) I've modified a few things - but you gave me the core idea. THANK YOU!
    I'm getting ready to meet with our Sales Manager to verify the numbers but from what I've checked so far it seems accurate.

     

    THANKS SO MUCH! I'll post the final after I confirm. 

     

  • heathernicole's avatar
    heathernicole
    8 years ago

    Full answer with mattbrice base formulas from a test dataset -  I'm also including the measures for the Count of Customers. I redid the customers count - using the base that matt created. So shout-out to you, mattbrice! :) THANKS!

     

    Count of Customers =
    CALCULATE (
        DISTINCTCOUNT ( 'SALES DETAILS'[LinkToCustomerID] ),
        'SALES DETAILS'[SalesTxn Document Type] = "Invoice",
        'Calendar - Transaction Date'[Year] >= 2017
    )
    Count of Customers Last 12MO =
    VAR _last12MO =
        DATESBETWEEN (
            'Calendar - Transaction Date'[Transaction Date],
            NEXTDAY (
                SAMEPERIODLASTYEAR (
                    LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
                )
            ),
            LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
        )
    RETURN
        CALCULATE ( [Count of Customers], _last12MO )
    Total Outgoing Sales =
    CALCULATE (
        SUM ( 'SALES DETAILS'[Sales $$] ),
        'Calendar - Transaction Date'[Year] >= 2017
    )
    Total Sales Last 12MO =
    VAR _last12MO =
        DATESBETWEEN (
            'Calendar - Transaction Date'[Transaction Date],
            NEXTDAY (
                SAMEPERIODLASTYEAR (
                    LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
                )
            ),
            LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
        )
    RETURN
        CALCULATE ( [Total Outgoing Sales], _last12MO )
    Total Sales Last 12 MO Rolling Top20 =
    VAR _last12MO =
        DATESBETWEEN (
            'Calendar - Transaction Date'[Transaction Date],
            NEXTDAY (
                SAMEPERIODLASTYEAR (
                    LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
                )
            ),
            LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
        )
    VAR _Top20Last12MO =
        CALCULATE (
            SUMX (
                VALUES ( 'Calendar - Transaction Date'[Month] ),
                CALCULATE (
                    [Total Outgoing Sales],
                    TOPN (
                        20,
                        VALUES ( 'SALES DETAILS'[LinkToCustomerID] ),
                        [Total Outgoing Sales]
                    )
                )
            ),
            _last12MO
        )
    RETURN
        _Top20Last12MO

    Final Result:

     

8 Replies

  • Hi,

     

    Please take a simple example and show the expected result (actual number that you want for the running total month on month).

    • heathernicole's avatar
      heathernicole
      Icon for Continued Contributor rankContinued Contributor

      Hello Ashish_Mathur - 

       

      the image attached IS the rolling number I need to come up with. That report in the image - part of it is run out of QuickBooks - extracted - then manually worked on in Excel by the Sales Manager to get the final result. 

       

      I have access to the database on the backend - so what I'm working with to try and automate this report is quite different.

       

       

      Here's a sample set that can be copied though that gives the rolling totals I need to recreate for last year in my report:

       

        TotalTop 20  # of Customers Who have ordered
      (Rolling 12 months)
      2015Dec$11,346,386$6,816,04160.07% 1780
      2016Jan$11,291,719$6,780,29660.05% 1812
      2016Feb$11,128,137$6,600,84159.32% 1874
      2016Mar$11,189,956$6,473,34257.85% 1970
      2016Apr$11,244,760$6,531,86858.09% 2011
      2016May$11,276,545$6,590,44658.44% 2091
      2016Jun$11,129,498$6,424,67757.73% 2091
      2016Jul$10,864,120$6,228,24657.33% 2117
      2016Aug$10,895,052$6,201,17456.92% 2102
      2016Sep$10,974,474$6,271,31957.14% 2155
      2016Oct$11,134,673$6,317,82156.74% 2176
      2016Nov$11,000,352$6,232,94156.66% 2200
      2016Dec$11,163,617$6,572,11858.87% 2225
      2017Jan$11,212,194$6,362,38056.75% 2230
      2017Feb$11,524,283$6,567,63456.99% 2320
      2017March$11,498,471$6,525,78656.75% 2345
      2017April$11,760,285$6,418,98254.58% 2392
      2017May$11,710,418$6,584,61256.23% 2396
      2017June$12,159,166$6,608,19654.35% 2417
      2017July$12,193,591$6,480,11153.14% 2420
      2017August$12,372,082$6,511,82552.63% 2408
      2017Sept$12,439,625$6,548,64352.64% 2408
      2017Oct$12,450,041$6,494,65752.17% 2411
      2017Nov$12,457,164$6,448,77851.77% 2365
      2017Dec$12,713,335$6,472,47550.91% 2322
  • This is an interesting problem so I gave it a try.  Let me know if it doesn't work for you as I haven't tested these as I don't really have a good sample data set to work off of.  You'll have to translate the column names I used for your model.

    Here is what I came up with for 4 measures assuming you have YearMonth on rows like you have in your result screenshots.

     

    Total Sales = SUM ( FactSales[SalesAmount] )

     Then for total sales last 12 Mo

     

    Total Sales Last 12MO =
    VAR _last12MO =
        DATESBETWEEN (
            DimDate[Datekey],
            NEXTDAY ( SAMEPERIODLASTYEAR ( LASTDATE ( DimDate[Datekey] ) ) ),
            LASTDATE ( DimDate[Datekey] )
        )
    RETURN
        CALCULATE ( [Total Sales], _last12MO )

    then for rolling top 20 sales last 12 months:

     

    Total Sales Last 12 MO Rolling Top20 =
    VAR _last12MO =
        DATESBETWEEN (
            DimDate[Datekey],
            NEXTDAY ( SAMEPERIODLASTYEAR ( LASTDATE ( DimDate[Datekey] ) ) ),
            LASTDATE ( DimDate[Datekey] )
        )
    VAR _Top20Last12MO =
        CALCULATE (
            SUMX (
                VALUES ( DimDate[YearMonth] ),
                CALCULATE (
                    [Total Sales],
                    TOPN ( 20, VALUES ( DimCustomer[CustomerKey] ), [Total Sales] )
                )
            ),
            _last12MO
        )
    RETURN
        _Top20Last12MO

    and finally the percentage is easy:

     

    Percentage of Sales = DIVIDE ( [Total Sales Last 12 MO Rolling Top20], [Total Sales Last 12MO] )

    Let me know if this worked.

    • heathernicole's avatar
      heathernicole
      Icon for Continued Contributor rankContinued Contributor

      mattbrice - Hey -  I think this is right. :) I've modified a few things - but you gave me the core idea. THANK YOU!
      I'm getting ready to meet with our Sales Manager to verify the numbers but from what I've checked so far it seems accurate.

       

      THANKS SO MUCH! I'll post the final after I confirm. 

       

      • heathernicole's avatar
        heathernicole
        Icon for Continued Contributor rankContinued Contributor

        Full answer with mattbrice base formulas from a test dataset -  I'm also including the measures for the Count of Customers. I redid the customers count - using the base that matt created. So shout-out to you, mattbrice! :) THANKS!

         

        Count of Customers =
        CALCULATE (
            DISTINCTCOUNT ( 'SALES DETAILS'[LinkToCustomerID] ),
            'SALES DETAILS'[SalesTxn Document Type] = "Invoice",
            'Calendar - Transaction Date'[Year] >= 2017
        )
        Count of Customers Last 12MO =
        VAR _last12MO =
            DATESBETWEEN (
                'Calendar - Transaction Date'[Transaction Date],
                NEXTDAY (
                    SAMEPERIODLASTYEAR (
                        LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
                    )
                ),
                LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
            )
        RETURN
            CALCULATE ( [Count of Customers], _last12MO )
        Total Outgoing Sales =
        CALCULATE (
            SUM ( 'SALES DETAILS'[Sales $$] ),
            'Calendar - Transaction Date'[Year] >= 2017
        )
        Total Sales Last 12MO =
        VAR _last12MO =
            DATESBETWEEN (
                'Calendar - Transaction Date'[Transaction Date],
                NEXTDAY (
                    SAMEPERIODLASTYEAR (
                        LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
                    )
                ),
                LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
            )
        RETURN
            CALCULATE ( [Total Outgoing Sales], _last12MO )
        Total Sales Last 12 MO Rolling Top20 =
        VAR _last12MO =
            DATESBETWEEN (
                'Calendar - Transaction Date'[Transaction Date],
                NEXTDAY (
                    SAMEPERIODLASTYEAR (
                        LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
                    )
                ),
                LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
            )
        VAR _Top20Last12MO =
            CALCULATE (
                SUMX (
                    VALUES ( 'Calendar - Transaction Date'[Month] ),
                    CALCULATE (
                        [Total Outgoing Sales],
                        TOPN (
                            20,
                            VALUES ( 'SALES DETAILS'[LinkToCustomerID] ),
                            [Total Outgoing Sales]
                        )
                    )
                ),
                _last12MO
            )
        RETURN
            _Top20Last12MO

        Final Result:

         

  • heathernicole's avatar
    heathernicole
    Icon for Continued Contributor rankContinued Contributor

    ADDED BONUS - the correct answer is below :) But I added Dynamic TOPN filtering and thought it might be helpful to someone else. :)  I modifed the method used here: by the PowerPivotPro guys (Rob Collie wrote this particular article) just a touch to work in the Power BI model. Great article and there's a part 1 and part 3 included with it if you're interested. Reid Havens referenced all three of them in a blog post here

     

    To make this report filter dynamically by the TOPN:

     

    First I created a Top N table (same as in the article):

    You do this just by 'Enter Data' and manually create the table obviously you can go up as high as you want - for this report it was 20.

     

     

     

    The created the following measure: 

    SelectedTopNNumber = MAX('TOPN'[TopN]) 

     

    Then I modified mattbrice measure to reference the newly created TopN measure: It's bold and underlined. This way the TOPN is dynamic according to whichever TOPN number is selected. 

    Total Sales Last 12 MO Rolling Top20 = 
    VAR _last12MO =
        DATESBETWEEN (
            'Calendar - Transaction Date'[Transaction Date],
            NEXTDAY ( SAMEPERIODLASTYEAR ( LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] ) ) ),
            LASTDATE ( 'Calendar - Transaction Date'[Transaction Date] )
        )
    VAR _Top20Last12MO =
        CALCULATE (
            SUMX (
                VALUES ( 'Calendar - Transaction Date'[Month] ),
                CALCULATE (
                    [Total Outgoing Sales],
                    TOPN ( [SelectedTopNNumber], VALUES ( 'SALES DETAILS'[LinkToCustomerID] ), [Total Outgoing Sales] )
                )
            ),
            _last12MO
        )
    RETURN
        _Top20Last12MO

     

    I then created a chiclet slicer (imported it from the Visual Store). Don't forget to disable multi-select within the filter. 

      

     

    Just like the article - it gives you the ability to dynamically filter this sample dataset by a TopN filter. 

    Filtered by Top 20:

     

    Filtered by Top 5