Forum Discussion
Power BI Embedded and multitenant support
- 9 years ago
What I would recommend would be to do another import of your data but summarize the data in Power Query such that all of the details are removed and then base your measure calculation (if needed) on that table. So, for example, you could do a "Group By" in Power Query to remove row level detail. Then, give everyone access to that table in RLS, or portions of the table that are relevant. For example, if you summarize by industry and only want them to see the measure calculated by their particular industry.
Thanks for your update Ermin. I will try the same approach, but the hard thing for us is that almost every visual has a comparison version. Instead of aggregating, I might have to copy the whole model twice and add RLS to one, while the copy will be used for comparison.
Anonymous,
this may be even an easier approach than the one I 'have chosen, since you just need to duplicate your data sources. However, I didn’t go that way because it seemed to be such a waste of storage to me. :manhappy:
Additionally, I would expect to gain on performance when dealing with the pre-aggregated values.
However, approach you selected is easier to implement and more flexible in case you need to add new comparison measure or dimension later.
It would be interesting to get your feedback after you gain some expirience with your approach. (Issues you had, workarounds, do and don’ts, pitfalls to be aware of, etc…)