Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Power BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.

Reply
Chanleakna123
Post Prodigy
Post Prodigy

Identify Quickly on Sales Trend Down by each customer so can take action quickly

Hi Everyone , 

I would like to have 1 dashboard which identify each customer over the year from Jan to Oct 2022 , whether this customer is having sales trend down or increasing ? if any customer having sales trend down , i would like to flag this up. So people would be able to know that , The sales of this customers is coming down.  I have no view of how this can be made and calculated by flagging those . 
Can anyone sharing me the best practice and sample of how to analyze quickly on each customer ? 

 

Thank you for your help 

1 ACCEPTED SOLUTION

Hi,

Thank you for your feedback.

I think I did not clearly describe my thoughts. What I mentioned was that what is your definition of Trend Down?

By weekly moving average does not tell clearly.

I tried to create a sample pbix file like below and the attached file, and please define which cusomter shows Trend UP and which customer shows Trend Down. And then, some measures can be created to flag.

 

Jihwan_Kim_0-1666256696365.png

 

Or, please share your sample pbix file's link.

 

 



Microsoft MVP



If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.




LinkedInVisit my LinkedIn page




Outlook BookingSchedule a short Teams meeting to discuss your question



View solution in original post

4 REPLIES 4
Chanleakna123
Post Prodigy
Post Prodigy

@Jihwan_Kim  you're so brilliant 🙂

Jihwan_Kim
Super User
Super User

Hi,

In my opinion, it depends on how you or stakeholders define what is considered as Trend Down.

 

For instance, my team in the company defines this like below.

- compare monthly average quantity between Jan2022~previousmonth of the last complete month 2022 (in this case, Aug.2022) VS. Last complete month 2022 ( in this case, Sep2022)

 

I also heard from other teams in different companies and they define like below.

- compare Jan.2022 VS. Last complete month

 

I believe one of the correct ways to define Trend Down is, ask stakeholders what they want to see on the Power BI report.

 

I hope this helps.

Thank you.



Microsoft MVP



If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.




LinkedInVisit my LinkedIn page




Outlook BookingSchedule a short Teams meeting to discuss your question



hi @Jihwan_Kim , thanks for your idea , 

i had discussed with the team to go with weekly moving average , But i'm curious , since in Power BI i have 1000 Customers , so i wanna count those who has sales trend down as of Now , i will also set the color back ground to quickly notice it. 
how can i able to do that  ?

Hi,

Thank you for your feedback.

I think I did not clearly describe my thoughts. What I mentioned was that what is your definition of Trend Down?

By weekly moving average does not tell clearly.

I tried to create a sample pbix file like below and the attached file, and please define which cusomter shows Trend UP and which customer shows Trend Down. And then, some measures can be created to flag.

 

Jihwan_Kim_0-1666256696365.png

 

Or, please share your sample pbix file's link.

 

 



Microsoft MVP



If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.




LinkedInVisit my LinkedIn page




Outlook BookingSchedule a short Teams meeting to discuss your question



Helpful resources

Announcements
June 2025 Power BI Update Carousel

Power BI Monthly Update - June 2025

Check out the June 2025 Power BI update to learn about new features.

June 2025 community update carousel

Fabric Community Update - June 2025

Find out what's new and trending in the Fabric community.