Sometimes we face models which can’t be built because we fall into the circular relationship (which Power BI protects us against) or ambiguity (which sits there silently making all our results meaningless). I faced one of this situations the other day at work and found a workaround with –you guessed it– a calculation group.
Ok, by now you probably know I’m a liiiiitle too much into calculation groups. Once you try calculation groups there’s no going back. Particularly if you do time intelligence analysis (that is comparing values with the previous year, but many other things as well). The reason is that normally you would create a new measure for each pair of calculation – measure, (e.g. Sales Amout PY, Sales Amount YTD, Total Cost PY, Total Cost YTD … ). With calculation groups you just create the box that shifts a measure into producing the time calculation that you want.
Calculated tables are not used often, because after all, it only combines data that you already have, right? Well, I didn’t use them often, until recently.
I was shown an excel chart displaying market share among top contenders, but including CY vs PY, then CYTD vs PYTD, then MAT vs MAT-1, and then the last 12 months as individual points. «This is what we would like to have»
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