BI Health Checks

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.