Intelligent Report Lifecycle Management: Automating OBIEE Catalog Cleanup at Scale

Preeta Pillai *

Biju Patnaik university, India.
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 1670-1673
Article DOI: 10.30574/wjarr.2023.18.3.0994
 
Publication history: 
Received on 18 April 2023; revised on 22 June 2023; accepted on 29 June 2023
 
Abstract: 
In large-scale OBIEE (Oracle Business Intelligence Enterprise Edition) implementations, cluttered and outdated reports can significantly degrade performance, increase maintenance costs, and obscure critical business insights. This paper explores an intelligent, automated approach to OBIEE catalog cleanup using usage-based filtering, parent-child hierarchy logic, and zero-disruption optimization techniques. By applying advanced analytics to user behavior and catalog structure, organizations can streamline reporting ecosystems without affecting ongoing operations or business continuity. Real-world implementations show up to a 40% reduction in catalog size, 25% improvement in dashboard performance, and enhanced audit readiness through structured cleanup governance.
 
Keywords: 
OBIEE; Catalog Optimization; Report Lifecycle; Automation; Metadata Analysis; Usage Filtering
 
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