Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi all, Need help with the following question
Each product has data, for that we have to create data as a moving average of the last 4 months
For example: United States 37101(product_name) April, May, June, July are 1683,1668,776,1885. Predict Aug as Average of the 4, then use average of May, June July, Aug as September. And a slider that can be used to do -20% to +20%. Where we cn check forecast in case we go -1% of the moving average or 5% of the moving average. I have created a slider using New Parameter
Dax Formula (Quick Measure) - Product_Count rolling average =
IF(
ISFILTERED('Table_name'[dimdate]),
ERROR("Time intelligence quick measures can only be grouped or filtered by the Power BI-provided date hierarchy or primary date column."),
VAR __LAST_DATE = ENDOFMONTH('Table_name'[dimdate].[Date])
VAR __DATE_PERIOD =
DATESBETWEEN(
'Table_name'[dimdate].[Date],
STARTOFMONTH(DATEADD(__LAST_DATE, 'Moving Average'[Moving Average Value], MONTH)),
__LAST_DATE
)
RETURN
AVERAGEX(
CALCULATETABLE(
SUMMARIZE(
VALUES('Table_name'),
'Table_name'[dimdate].[Year],
'Table_name'[dimdate].[QuarterNo],
'Table_name'[dimdate].[Quarter],
'Table_name'[dimdate].[MonthNo],
'Table_name'[dimdate].[Month]
),
__DATE_PERIOD
),
CALCULATE(
SUM('Table_name'[Product_Count]),
ALL('Table_name'[dimdate].[Day])
)
)
)
Could you please help.
Thanks
@anushaghi123 , For rolling 4 month Avg you can use.
example
4 Month Avg = Maxx(Values('Date'[MONTH Year]), CALCULATE(AverageX(Values('Date'[MONTH Year]),calculate(Sum('Table'[Value)))
,DATESINPERIOD('Date'[Date ],MAX('Date'[Date ]),-3,MONTH)) ,DATESINPERIOD('Date'[Date ],MAX('Date'[Date ]),-4,MONTH))
Now you can use Dynamic Segmentation for bucketing of filtering
Dynamic Segmentation Bucketing Binning
https://community.powerbi.com/t5/Quick-Measures-Gallery/Dynamic-Segmentation-Bucketing-Binning/m-p/1...
Dynamic Segmentation, Bucketing or Binning: https://youtu.be/CuczXPj0N-k
HI @amitchandak Thanks for the reply.
I am getting column total error
I'm getting column total incorrect for Forecast(Blue) data.
Dax Formula (Quick Measure) - Product_Count rolling average =
IF(
ISFILTERED('Table_name'[dimdate]),
ERROR("Time intelligence quick measures can only be grouped or filtered by the Power BI-provided date hierarchy or primary date column."),
VAR __LAST_DATE = ENDOFMONTH('Table_name'[dimdate].[Date])
VAR __DATE_PERIOD =
DATESBETWEEN(
'Table_name'[dimdate].[Date],
STARTOFMONTH(DATEADD(__LAST_DATE, 'Moving Average'[Moving Average Value], MONTH)),
__LAST_DATE
)
RETURN
AVERAGEX(
CALCULATETABLE(
SUMMARIZE(
VALUES('Table_name'),
'Table_name'[dimdate].[Year],
'Table_name'[dimdate].[QuarterNo],
'Table_name'[dimdate].[Quarter],
'Table_name'[dimdate].[MonthNo],
'Table_name'[dimdate].[Month]
),
__DATE_PERIOD
),
CALCULATE(
SUM('Table_name'[Product_Count]),
ALL('Table_name'[dimdate].[Day])
)
)
)
Could you check the DAX
Thanks
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 37 | |
| 37 | |
| 33 | |
| 32 | |
| 29 |
| User | Count |
|---|---|
| 130 | |
| 88 | |
| 82 | |
| 68 | |
| 64 |