Do you have an idea how to improve the performance ?

Hi All,
Greeting,
I'm doing SEM IP. Regarding the performance, do you have some thought about this ?
So I have planning report for project report . As we know, if we forecast against project, means the date itself is the life of the project itself.
It means it could be more than 10 years (forecast period) and 10 years (actual period). Currently I segregate between actual and forecast into different info cube .
But the performance of the planning report is slow now. Do you have an idea about this how to increase the performance. The performance I mentioned here is when we're going to the report (after putting in the value in the selection screen).
The other question, at this moment, I have a multiprovider than this multi provider consist 2 info cubes ( actual and forecast ). Than my aggregation is sitting on top of that multi-provider .
My question whether that's approach correct or not ? Or do we have to create 1 aggregate (only for forecast), than I have multi-provider consisting forecasting aggregation and actual cube .
than my query will sit on top of that multi-provider ?
Which one is better ??
Thanks a lot all,
really need your help,

Hi,
   For the performance tuning, you can consider any of the following three methods,
1. Indices
With an increasing number of data records in the InfoCube, not only the load but also the query performance can be reduced. This is attributed to the increasing demands on the system for maintaining indexes. The indexes that are created in the fact table for each dimension allow you to easily find and select the data.
2. Partitioning
By using partitioning you can split up the whole dataset for an InfoCube into several, smaller, physically independent and redundancy-free units. Thanks to this separation, performance is increased when reporting, or also when deleting data from the InfoCube.
3. Aggregates 
Aggregates make it possible to access InfoCube data quickly in Reporting. Aggregates serve, in a similar way to database indexes, to improve performance.
4. Compressing the Infocube
Infocube compression means aggregation of the data ignoring the request idu2019s. After compression, the system need not perform aggregation using the request ID every time you execute a query.
And I feel that as per your scenario, you need to do first compress the data based on user requirements and have only the required data in the infocube.
And for the approach regarding the Aggregation level design, choosing between the two approaches depends on the user requirements. For example,
If you have aggregation level created on top of multiprovider containing actual and forecast cube, in your report (created on top of aggregation level) you can view the key figure values present in both the cubes, which is not possible in the other approach.
So this approach is suited if your requirement is to view the records from both the cubes in your report (Comparing planning and actual values).
The second approach is used if your requirement is only to report on planning forecast cube.
Hopes this solves your issue.
Regards,
Balajee

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