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Helper I

## Slicer and problem with measure

Dear gurus,

am having an issue with measure providing correct result at aggregated level but missing to display values at detailed level.

My database is simple:

 SKU Classification Quantity Year Month ABC Current Forecast 99 2023 4 ABC Current Forecast 100 2023 5 DEF Current Forecast 120 2023 6 ABC Forecast M-1 80 2023 4 ABD Forecast M-1 80 2023 5 DEF Forecast M-1 90 2023 6 ABC Forecast M-2 50 2023 4 ABD Forecast M-2 100 2023 5 DEF Forecast M-2 100 2023 6

I need to compare the total Current Forecast for a user-defined period (I use a slicer on Year and Month) and a user-defined period (I use a slice on Classification)
I created following measures:

calculate total current forecast =

Calculate(
SUM ('Demand Database'[Quantity]),
ALL('Demand Database'[Classification]),
('Demand Database'[Classification]="FCST Curr Month")

Calculate forecast for comparison =
Calculate(
SUM ('Demand Database'[Quantity]),
ALL('Demand Database'[Classification]),
'Demand Database'[Classification] = SELECTEDVALUE('Demand Database'[Classification])

it works perfectly when aggregating the quantity to a higher level (e.g. Brand, which I've not included in the table above) but when I drill down at SKU level, some of the SKU are missing the Fcst CM value - even if the subtotal is correct.
It seems to me there's an issue with the display / visual at SKU level.

Anyone has an idea of how to display all values at SKU level?
11 REPLIES 11
Super User

Let me know if you might need further assistance.

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Sahir Maharaj
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Super User

Additionally, you could try using a DAX query in a tool like DAX Studio to debug your measures and see exactly what data is being used in the calculations.

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Kind Regards,
Sahir Maharaj
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Super User

You may also want to try using a different visual, such as a table or matrix, to see if the missing values are still present.

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Kind Regards,
Sahir Maharaj
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Super User

Another possibility is that there may be some data quality issues in your dataset, such as missing or incomplete data. You could try checking your data for any inconsistencies or gaps that may be causing the missing values.

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Sahir Maharaj
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Super User

These modifications should ensure that the measures are correctly filtered at the SKU level for the selected period.

Did I answer your question? Mark my post as a solution, this will help others!

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Kind Regards,
Sahir Maharaj
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Super User

Hello @moia79,

It's possible that some SKUs are missing the Fcst CM value because they don't have any entries with that classification in the selected period.

To display all values at the SKU level, you may need to modify your measures to explicitly filter for the selected period at the SKU level, rather than relying on the ALL() function to remove the Classification filter.

Did I answer your question? Mark my post as a solution, this will help others!

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Kind Regards,
Sahir Maharaj
Data Scientist | Data Engineer | Data Analyst | AI Engineer
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Super User

Similarly, your forecast for comparison measure could be modified as follows:

``````Calculate forecast for comparison =
Calculate(
SUM ('Demand Database'[Quantity]),
FILTER('Demand Database',
'Demand Database'[Classification]=SELECTEDVALUE('Demand Database'[Classification]) &&
'Demand Database'[Year]=SELECTEDVALUE('Demand Database'[Year]) &&
'Demand Database'[Month]=SELECTEDVALUE('Demand Database'[Month])
)``````

Did I answer your question? Mark my post as a solution, this will help others!

If my response(s) assisted you in any way, don't forget to drop me a "Kudos" 🙂

Kind Regards,
Sahir Maharaj
Data Scientist | Data Engineer | Data Analyst | AI Engineer
P.S. Want me to build your Power BI solution?
➤ Lets connect on LinkedIn: Join my network of 15K+ professionals
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Super User
``````calculate total current forecast =

Calculate(
SUM ('Demand Database'[Quantity]),
FILTER('Demand Database',
'Demand Database'[Classification]="FCST Curr Month" &&
'Demand Database'[Year]=SELECTEDVALUE('Demand Database'[Year]) &&
'Demand Database'[Month]=SELECTEDVALUE('Demand Database'[Month])
)``````

Did I answer your question? Mark my post as a solution, this will help others!

If my response(s) assisted you in any way, don't forget to drop me a "Kudos" 🙂

Kind Regards,
Sahir Maharaj
Data Scientist | Data Engineer | Data Analyst | AI Engineer
P.S. Want me to build your Power BI solution?
➤ Lets connect on LinkedIn: Join my network of 15K+ professionals
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➤ Email: sahir@sahirmaharaj.com
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Helper I

hello @Sahir_Maharaj  and thanks for your suggestions.
I tried with your formula with FILTERS, it doesn't work at all. The slicer on the comparison measure is blocking the measure to take the values of current month, so the query is totally empty.
I still believe that something like ALL function should be used to remove the slicer effect.

moreover, by using ALL function, at least I can extract some values at SKU level but again I have missing values if I select more than one month for the extraction of values - but the total is always correct so am wondering if there's any conflict between the slicer and the visual.

if you've any other suggestion I'm happy to tried it out.

M

Super User

For example, your total current forecast measure could be modified as follows:

Did I answer your question? Mark my post as a solution, this will help others!

If my response(s) assisted you in any way, don't forget to drop me a "Kudos" 🙂

Kind Regards,
Sahir Maharaj
Data Scientist | Data Engineer | Data Analyst | AI Engineer
P.S. Want me to build your Power BI solution?
➤ Lets connect on LinkedIn: Join my network of 15K+ professionals
➤ Join my free newsletter: Data Driven: From 0 to 100
➤ Website: https://sahirmaharaj.com
➤ Email: sahir@sahirmaharaj.com
➤ Want me to build your Power BI solution? Lets chat about how I can assist!
➤ Join my Medium community of 30K readers! Sharing my knowledge about data science and artificial intelligence
➤ Explore my latest project (350K+ views): Wordlit.net
➤ 100+ FREE Power BI Themes: Download Now
LinkedIn Top Voice in Artificial Intelligence, Data Science and Machine Learning
Super User

One way to do this is to use the FILTER() function to create a new table that includes only the selected period, and then use that table as a filter in your measure.

Did I answer your question? Mark my post as a solution, this will help others!

If my response(s) assisted you in any way, don't forget to drop me a "Kudos" 🙂

Kind Regards,
Sahir Maharaj
Data Scientist | Data Engineer | Data Analyst | AI Engineer
P.S. Want me to build your Power BI solution?
➤ Lets connect on LinkedIn: Join my network of 15K+ professionals
➤ Join my free newsletter: Data Driven: From 0 to 100
➤ Website: https://sahirmaharaj.com
➤ Email: sahir@sahirmaharaj.com
➤ Want me to build your Power BI solution? Lets chat about how I can assist!
➤ Join my Medium community of 30K readers! Sharing my knowledge about data science and artificial intelligence
➤ Explore my latest project (350K+ views): Wordlit.net
➤ 100+ FREE Power BI Themes: Download Now
LinkedIn Top Voice in Artificial Intelligence, Data Science and Machine Learning

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