Using Polaris in Reporting models

stq
stq
in Modeling

Hi, We've been advised to use Polaris for one of our reporting models (90% sparcity). The model is mainly used to aggregate data across 4 dimensions and time, using SUM as the summary method.

One of our dimensions is a 12-levels hierarchy, and I just saw in anaplan learning that Polaris might not be effective in reducing volumetry when using such lists.

Do you have any advice/feedback ?

Thank you !

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Answers

  • rob_marshall
    rob_marshall

    @stq

    It totally depends…Without knowing more about the 12 level hierarchy, it is difficult to tell. With that said, one of the reasons you have that 12 level hierarchy is to reduce the overall sparsity. In Polaris, you may not need to have so many levels as you would be modeling more "naturally". Also, with OnDemand Calc (ODC) in Polaris, that could definitely help "end of chain" calculations (meaning calcs for dashboards/reporting).

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