Oracle BI 11g Application Performance Package

Oracle BI 11g Application Performance Package

BI Application performance is imperative to the overall success of any BI initiative!

Performance issues can render your BI application ineffective: not being able to achieve your organization’s needs with slow running systems, decreasing end user buy-in, exhausting your resources.

With the correct level of know-how and experience identifying root cause issues can be straightforward. GoLiveSystems, Inc. is specialized in Oracle BI Application performance; we present a low cost and high value solution for your BI Application offering our skills in Oracle BI and Data platforms.

Objectives:

  • Achieve Dashboard and Query performance that meet or exceed your “response time” SLAs
  • Increase end-user satisfaction and adoption
  • Reduction of support and administrative costs due to increased user adoption
  • Maximize BI infrastructure utilization
  • Ensure the long-term health of your OBIEE platform by adhering to industry best practices

Deliverables: The GoLive Systems, Inc. Senior BI Architect works with your team to deliver the “Application Performance Optimization” Report Analysis would cover the following topics:

  • Review the hardware requirements and deployment architecture of the OBIEE environment
  • Assessment of the usage and workload patterns against the recommended configurations for each OBIEE component.
  • Provide recommendations on load balancing and high availability solutions.
  • Review OBIEE repository configuration for application performance best practices: keys and joins, connection pools, BMM layer Model construction, customization, calculations, hierarchies etc.
  • Review Initialization blocks and variables configuration.
  • Analyze slow performing reports for SQL execution and performance.
  • Overall cache strategy and caching options configurations.
  • Review of OBIEE report scheduling.
  • Identification of aggregation opportunities and other performance improving schema enhancement techniques.
  • Review of application security and personalization for performance bottlenecks.
  • Review Data model and table structures.
  • Review Database indexing – use of B-tree and bit-mapped indexes – and database statistics collection.
  • Review Database initialization parameters.
  • Identify opportunities and provide guidelines on Database table partitioning.
  • Explore data compression and parallel query execution techniques for performance improvements.