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Working with Version/Categories and different time granularities

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Hi Experts,

a similar thread was posted like this, but was never answered, so I give it a new try:

I want to build a story based on a planning model (including sales volume actuals data and a planning version without data) which should be able to meet the following requirements:

  • Display values of Actuals-Version from the last year(s) and current year on monthly basis
  • Display (empty) fields of Budget-Version for next year (monthly) for data entry
  • Display (empty) fields of Planning-Version for year+2 and year+3 (quarterly) for data entry

The target structure should look like this: 20180926-sac-table-result.png

Problem 1: The advanced filter, including time (by range, dynamic) + version, behaves unexpected and prompts an error (20180926-sac-fehler.png). There are still combinations of time + version dimension shown, which aren't inculded in the filter.

Note: "Show unbooked members" is on for all dimensions (Account, Category, Time).

Please see for further clarification 20180926-sac-table.png. Also see the configuration of my advanced filter: 20180926-sac-filter.png

Problem 2:In this context, I have the similar questions as Johannes. Furthermore, I found in an old video (from 2016) for SAC Planning an aspect in the model designer, that I am missing now: To define the time granularity for the different planning categories (20180926-sac-planning-model-designer.png). Has this feature been canceled? How would you solve the problem - that I have different granularity for budget and planning periods - now?

The data source is an example file from SAP (Best Run Juice Company). It contains actuals for three periods (2014-2016). Additionally, I created a monthy budget for 2017 and imported it as a budget version from Excel file, too. The filter ist designed on chart level.

Looking forward to your reply.

Best regards, Stephan

TammyPowlas
Active Contributor
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Hello Stephan - I updated your tag to SAP Analytics Cloud Planning for faster response.

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