Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi all,
I'm trying to create a dynamic forecast based off budget and actuals.
The table below shows what I hope to achieve in the column on the right;
| Month | Revenue | Budget | Diff | Forecast |
| jan | 240.000 | 210.000 | 30.000 | 210.000 |
| feb | 200.000 | 180.000 | 20.000 | 210.000 |
| maa | 210.000 | 260.000 | ||
| apr | 175.000 | 225.000 | ||
| mei | 219.000 | 269.000 | ||
| jun | 280.000 | 330.000 | ||
| jul | 265.000 | 315.000 | ||
| aug | 204.000 | 254.000 | ||
| sep | 220.000 | 270.000 | ||
| okt | 250.000 | 300.000 | ||
| nov | 230.000 | 280.000 | ||
| dec | 220.000 | 270.000 |
Budgetdiff is AmountRevenue - BudgetRevenue
As shown, the forecast should be budget + SUM(budgetdiff)
The problem is, AmountRevenue, Budget and BudgetDiff are all measures, and when I try to create my forecast measure, the result always adds the rows by month instead of the TOTAL sum of BudgetDif for the selected year.
I've tried this:
Solved! Go to Solution.
@Anonymous , Try like
Measure = [Budget] + CALCULATE(sumx(filter(values(dimdate[month]),not(isblank([Revenue]))),all(dimdate))
Hi @amitchandak ,
Your formula helped me get the right results! Thank you so much!
I had to change your formula a little bit into
Forecast = Budget + CALCULATE(SUMX(VALUES(dimdate[Month]), not(isblank([Revenue])), ALLEXCEPT(dimdate, dimdate[year]))
Hi @amitchandak ,
Your formula helped me get the right results! Thank you so much!
I had to change your formula a little bit into
Forecast = Budget + CALCULATE(SUMX(VALUES(dimdate[Month]), not(isblank([Revenue])), ALLEXCEPT(dimdate, dimdate[year]))
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.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 50 | |
| 44 | |
| 41 | |
| 18 | |
| 18 |
| User | Count |
|---|---|
| 69 | |
| 68 | |
| 32 | |
| 32 | |
| 32 |