Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
Hi,
Sorry for the simple question but I am new to DAX. I am simply trying to multiple two columns from different table but the Total is not computed as expected. From the image below I would like to multiple _omiPercentage with ompOrderTotalBase. The fields are located in two different tables. As you can see below the correct value is used for SO Total 2 rows but the Total is not correct.
What is the correct expression to use for this case. Any assistance is greatly appreciated!
Thanks in advance,
Jeff
Solved! Go to Solution.
Suppose the relationship between table 'SalesOrders' and 'SalesOrderSalesPeople' is many to one, you may modify measure using DAX like pattern below and check if the total is correct:
SO Total =
SUMX (
'SalesOrderSalesPeople',
[_omiPercentage] * RELATED ( SalesOrders[ompOrderTotalBase] )
)
Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Suppose the relationship between table 'SalesOrders' and 'SalesOrderSalesPeople' is many to one, you may modify measure using DAX like pattern below and check if the total is correct:
SO Total =
SUMX (
'SalesOrderSalesPeople',
[_omiPercentage] * RELATED ( SalesOrders[ompOrderTotalBase] )
)
Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Perfect. Thanks!
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 45 | |
| 38 | |
| 34 | |
| 21 | |
| 17 |
| User | Count |
|---|---|
| 66 | |
| 64 | |
| 31 | |
| 26 | |
| 26 |