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I am attempting to mask confidential data (Customer Names) to show how Customer A stacks up vs Customer B and so on.
I currently have a list of Customers with the Sanitized Customers.
Ex:
Customer | Sanitized |
Microsoft | Customer A |
Apple | Customer B |
Customer C |
I would like to be able to show Microsoft's data as "Microsoft" when presenting data to them specifically, while all others are using generic Customer A, B, etc.
I believe this can be done using Dynamic M Query Parameters but am currently finding difficulty writing the query.
Any help is appreciated. Thanks!
Solved! Go to Solution.
Hi @kmckenzie ,
According to your description, I refer to a blog where you can randomize the data during the refresh in Power Query to achieve the effect of blocking the data you don't want to show.
For more details, you can read related blog link as below:
Masking confidential data in Power BI reports - DataChant
If the problem is still not resolved, please provide detailed error information and let me know immediately. Looking forward to your reply.
Best Regards,
Henry
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @kmckenzie ,
According to your description, I refer to a blog where you can randomize the data during the refresh in Power Query to achieve the effect of blocking the data you don't want to show.
For more details, you can read related blog link as below:
Masking confidential data in Power BI reports - DataChant
If the problem is still not resolved, please provide detailed error information and let me know immediately. Looking forward to your reply.
Best Regards,
Henry
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
That's not what dynamic query parameters are for. Their purpose is to help with query performance optimization.
I would (strongly) recommend that you do your data masking in the upstream systems, and that you present different reports based on different dataset to your different audiences. Trying to do all this in Power BI is inviting trouble and will lead to data leaks.
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