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Forum Newbie
      
Group: General Forum Members
Last Login: Tuesday, June 05, 2012 6:00 PM
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Hello - I have a design question and want to understand whether my problem could be solved using SSAS data mining and if yes, which algorithm will be useful. I have a revenue fact table with dimension keys for say, dim A, dim B, dim C and dim D along with date dim. ( I have already built a cube for this) I want to predict my revenue for dim A and also simultaneously see effect of dim B, dim C and dim D on the behavior of this prediction. so, for example I want to see prediction of my revenue by region. But then I should be able to select a product and see the prediction by region for that product and so on for other dimensions. I tried time series algorithm but found that i can have one time series with one date dim and one other dimension only. I can't have dim A and dim B simultaneously on time series along with dim date. (Is it true? or I'm missing something). What other possible algorithms i can use for this kind of scenario and how to model that in SSAS? Any help is appreciated. Thanks, Amey
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SSC-Addicted
      
Group: General Forum Members
Last Login: Monday, May 13, 2013 2:45 PM
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would it be possible to combine the 4 dimensions in the DSV and then create 1 "super" cube-dimension for use in the dm model?
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Forum Newbie
      
Group: General Forum Members
Last Login: Monday, April 29, 2013 11:19 AM
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| As long as Dim A-D are all linked together through the fact table, you should be able to add Dimension A as the initial Dimension and the rest of the Dimensions as nested Dimensions.
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