Performance issue in browsing SSAS cube using Excel for first time after cube refresh

Hello Group Members,
This is a continuation of my earlier blog question -
https://social.msdn.microsoft.com/Forums/en-US/a1e424a2-f102-4165-a597-f464cf03ebb5/cache-and-performance-issue-in-browsing-ssas-cube-using-excel-for-first-time?forum=sqlanalysisservices
As that thread is marked as answer, but my issue is not resolved, I am creating a new thread.
I am facing a cache and performance issue for the first time when I try to open a SSAS cube connection using Excel (using Data tab  -> From Other Sources --> From Analysis Services) after daily cube refresh. In end users system (8 GB RAM but around
4GB available RAM), for the first time, it takes 10 minutes to open the cube. From next run onwards, its open up quickly within 10 secs.
We have daily ETL process running in high end servers. The configuration of dedicated SSAS cube server is 8 core, 64GB RAM. In total we have 4 cube DB - out of which for 3 is full cube refresh and 1 is incremental refresh. We have seen after daily cube
refresh, it takes 10 odd minutes to open the cube in end users system. From next time onwards, it opens up really fast with 10 secs. After cube refresh, in server systems (32 GB RAM, around 4GB available RAM), it takes 2 odd minutes to open the cube.
Is there, any way we could reduce the time taken for first attempt ?
As mentioned in my previous thread, we have already implemented a cube wraming cache. But, there is no improvement.
Currently, the cumulative size of the all 4 cube DB are more than 9 GB in Production and each cube DB having 4 individual cubes in average with highest cube DB size is 3.5 GB. Now, the question is how excel works with SSAS cube after
daily cube refresh?
Is it Excel creates a cache of the schema and data after each time cube is refreshed and in doing so it need to download the cube schema in Excel's memory? Now to download the the schema and data of each cube database from server to client, it will take
a significant time based on the bandwidth of the network and connection.
Is it anyway dependent to client system RAM ? Today the bigest cube DB size is 3.5 GB, tomorrow it will be 5-6 GB. Now, though client system RAM is 8 GB, the available or free RAM would be around 4 GB. So, what will happen then ?
Best Regards, Arka Mitra.

Could you run the following two DMV queries filling in the name of the cube you're connecting to. Then please post back the row count returned from each of them (by copying them into Excel and counting the rows).
I want to see if this is an issue I've run across before with thousands of dimension attributes and MDSCHEMA_CUBES performance.
select [HIERARCHY_UNIQUE_NAME]
from $system.mdschema_hierarchies
where CUBE_NAME = 'YourCubeName'
select [LEVEL_UNIQUE_NAME]
from $system.mdschema_levels
where CUBE_NAME = 'YourCubeName'
Also, what version of Analysis Services is it? If you connect Object Explorer in Management Studio to SSAS, what's the exact version number it says on the top server node?
http://artisconsulting.com/Blogs/GregGalloway

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    Hello Group Members,
    I am facing a cache and performance issue for the first time, when I try to open a SSAS cube connection using Excel (using Data tab  -> From Other Sources --> From Analysis Services) after daily cube refresh. In end users
    system (8 GB RAM), for the first time, it takes 10 minutes to open the cube. From next run onwards, its open up quickly within 10 secs.
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    Best Regards, Arka Mitra.

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