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I have the data model above with 2 fact tables. One for Forecast and one for actuals. They are at different granularities. Forecasts are for the month - but done every week. Actuals are added for the month when the month is complete. I want a data table report as shown above actuals to replace forecast once they are available. I am not xcertain if I need a different data-model or I need to de-normalize to a single fact table or DAX measures or DAX calculated columns.
This is a DAX problem, not power query. Your data model is fine. Break the problem into pieces and solve one problem at a time.
1. Write a measure that returns actual
2. Write a measure that returns forecast
3. Write a measure (probably using IF ) to show one or the other depending on the rules you describe.
@MattAllington Matt, thanks for your reply - I am a DAX beginner, and I have tried numerous approaches - I continue to struggle. Can you propose the structure of the DAX measure? Nothing I do seems to work. Maybe I can send a data sample file? Any help is appreciated!
I can help you learn. My view is you wont learn if I do it for you. How about you post a sample workbook with what you have done. I can then guide you from there.
@MattAllington Sample at URL below.
https://drive.google.com/open?id=1ATCnatMbzd14j9EBH5EWJZelJzyvSyYH
I am using Excel/Power Query.
I simply add the ForecastUnitsForward measure to the SalesUnits measure for the integrated measure.
ForecastUnits Forward=
SUMX(
'CDC Data',
IF(RELATED('Table_Period'[Month])>='CDC Data'[Forecast Month],
[Forecast Units],
[Sales Units])
)
I have a row total problem. Any guidance is appreciated.
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