1:N relationships within a dimension

We are using OBIEE 10.1.3.3
I have a request from users where they want attributes within a dimension where those attributes have a 1:N relationship.
Example, Sales is dimensioned by Customer and Time.
The granularity of the Sales Fact is Day and Customer.
Now each customer can be know by different names and that attribute is known as Customer Synonym. There is a 1:N relationship between Customer and Customer Synonym. The users want to see both Customer and Customer Synonym and also query sales. When I add the Customer Synonym table within the same logical table source and run a query,the Sales numbers are doubled counted where there are more than one Synonyms. To avoid confusion we have trained users about this issue. However, I would like to figure out a better way to avoid the double counting. I cannot create a dimension out of Customer Synonym because the grain of the sales data is customer.
Is there a better design pattern within OBIEE to address this issue ?
Any suggestions would be appreciated.

Ya got your requirement,I got an idea or think its a suggestion lets give a try
If you know SQL coding and as you said they are alternative names,you can do 1 thing instead of displaying both names as different columns.You combine them in SQL it is concatenated like this
customer_name||'  '||customer_synonym so result=AB Corporation Alpha Beta Corporation Barclay Corporation
so end result AB Corporation Alpha Beta Corporation Barclay Corporation 100
but this can be written in the query itself or may be as a condition you should give a try and play around.
Hope it helps you.
Cheers,
Kranthi

Similar Messages

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    Hi Amanda.......
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    I checked the document.........
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    Hello,
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    Hi
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    Hi all,
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    Regards,
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    Regards,
    Güneş BÜYÜKTANIR

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    Regards.

    If i try to add a blank column with relevant property sysmbol for a level in rules file, it makes the changes but not as desired.
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    Give that user the rights of
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  • N:N relationship between 2 dimensions

    Hi Guru,
    I've got a modeling issue and I need your wise help.
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    Number of bottom outliers  3668
    Number of outliers in %      1.57
    Number of top outliers in %  0.44
    Number of bottom outliers in %  1.13

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