Is this a best practice of BAM implementation?

Hello everyone:
Currently we have done an Oracle BAM implementation. To explain briefly our implementation:
We have an Oracle Database 8.1.7, were all transactions are recorded. We tried using JMS to import the data into data objects in the Oracle BAM respository. We did this by using a database link to a Oracle Database 10G and then through Advanced Queueing. This did not work due to performance issues. The AQ messages were not consumed as fast as they were produced, so there was no real time data.
Then we developed a Java component to read the table in the Oracle Database 10g and started using batch upserts into the Oracle BAM through the web services API provided. This solved the performance issue mentioned above.
Currently we are using all the data procesing in the Oracle 10G database through PL/SQL stored procedures, data mining is applied on the transactions and the summary information is collected intro several tables. This tables are updated and then imported into the Oracle BAM data objects.
We have noticed, that Oracle BAM has some performance issues when trying to view a report based on a data object with large number of records. Is this really an issue on Oracle BAM? The average number of transactions is 200,000 records. How can we solve this issue?
Another issue we want to expose is. When viewing reports through the browser, and the browser hangs or suddenly closes. Sometimes the Active Data Cached Feed window hangs or doesn´t close. When this happens, an we try to open another report, the report never displays. Is this a browser side issue or server side issue?
The Oracle BAm is installed on a Blade with 2X2 Xeon Procesors (4 cpus), 16GB RAM and Windows Server 2003 Enterprise Ed. with SP2.
How can we get a tuning guide based on best practices?
Where can we get suggestions about our implementation?
Thanks to anyone who can help us.

Even i am facing similar issue. Any pointers would be appreciated.
Thanks.

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