Hi,
I'm importing OPEX data from a datahub to a spoke model with the same dimensions but are getting 4x the values for every cell in the target module. Does anyone know why this might be?
Best regards,
Johan
Hi @johan.marketoft
It could be because of a missing dimension (you mentioned that both the source and target module have the same dimensions) or it can be that one of the dimensions has a different level of granularity: for instance, perhaps time dimension (if applies) is in weekly buckets in the source and monthly buckets in the target?
Check the summary methods of the Line Items in the source module, too: set them to "none" and check the result of the data import.
This is what I can think of for now. Please, feel free to share some more details or a couple of screenshots and we will be able to find the root of the issue.
Cheers,
Alex.
When this has happened to me before, it's because I'm misaligned on the time dimension. For example, imported against year, but importing into month. From the 4x comment you made, I believe it would be a quarter vs. year mismatch.
Has anyone tested Analyst’s response quality/speed on large, sparse models (think 10+ dimensions, millions of line items)? Wondering if there’s a practical ceiling before it starts timing out.
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