MDX performance issue to go upto day level

  • Hi experts,

    The data exists in the OLAP database as follows:

    Currency Rate | Revenue | Receipt Date

    3000 | 40000 | 12/02/2012

    3001 | 34000 | 13/02/2012

    3020 | 50200 | 14/02/2012

    3011 | 91000 | 15/02/2012

    3009 | 10000 | 16/02/2012 .. and so on.

    Note:- As you can see here, the rate keeps changing every day.

    Now in the report we have to show summarize data according to products only by dividing revenue with its appropriate rate:

    So what happened in our MDX query is that :

    Sum(Revenue) / Sum(Currency Rate) ....which is wrong.

    So my question is whether there is some alternative to taking all the data to the day level and do the division and then summarize data because the no. of days can be 365 from 01/01/2011 - 31/12/2011 plus 365 days of the prior period from 01/01/2010 - 31/12/2010 ?

    BI Developer
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  • Use a measure expression or feed this in pre-calculated into the cube

    Mack

  • Yeah. That's the only way to overcome this performance issue.

    Thanks

    BI Developer
    SSRS, SSIS, SSAS, IBM Cognos, IBM Infosphere Cubing services, Crystal reports, IBM DB2, SQL Server, T-SQL
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