Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hello - PBI Newbie here -
I am trying to segment accounts based on revenue. I have a table with Account information, Financial information and Segmentation requirements.
Account Columns:
[Account_Id] [Account Name] etc
Financial Columns
[Account_Id] [Revenue] etc
Segmentation Columns:
[Segmentation Name] [Max Revenue] [Min Revenue]
What is the best approach to solve this?
I want a table/chart with the Account Name, Revenue, and Segmentaion Name, or to be able to filter a page based off the segmentation. I am struggling with the format of the column I'm adding to the Financial table in order to calculate what segment each account is in. NOTE there is only one line item for each account in the financials table.
Thanks in advance for your help!
Note - I've been looking at this page and trying to convert it to columns (rather than measures), and not having any luck.
Solved! Go to Solution.
You can try to add a calculated column as below.
Segmentation Name = CALCULATE ( VALUES ( Segmentation[Segmentation Name] ), FILTER ( Segmentation, Segmentation[Min Revenue] <= Financial[Revenue] && Segmentation[Max Revenue] >= Financial[Revenue] ) )
You can try to add a calculated column as below.
Segmentation Name = CALCULATE ( VALUES ( Segmentation[Segmentation Name] ), FILTER ( Segmentation, Segmentation[Min Revenue] <= Financial[Revenue] && Segmentation[Max Revenue] >= Financial[Revenue] ) )
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
72 | |
70 | |
57 | |
37 | |
36 |
User | Count |
---|---|
85 | |
65 | |
60 | |
46 | |
45 |