Key Features

Multi-Cloud Compatibility & Native On-Premise Integration

RDA operates across Oracle Cloud (OCI), AWS, Azure, GCP, and on-premise environments. It uses native object storage to provide performance and flexibility, supporting public cloud, hybrid, and local deployments without affecting accessibility or control.

Out-of-the-Box Reporting & Flexible Visualization

Over 40 pre-built reports that cover business areas such as revenue, compliance, and operations are available in RDA. These reports come with embedded dashboards and integrate with leading analytics tools like Power BI, Tableau, Qlik, and Cognos, allowing teams to analyze and present metrics.

Intuitive Self-Service Report Creation

Business users can create and customize reports using a drag-and-drop interface, reducing dependence on IT teams. This feature includes semantic layer abstraction and metadata mapping for consistent data definitions, collaborative workflows, and traceability.

Unified Business Content Across ORMB & Enterprise Systems

Pre-configured subject areas for ORMB workflows are provided to allow quick implementation with little setup. It also integrates with non-ORMB systems like ERP and CRM, enabling organizations to combine analytics across different platforms for consistent reporting.

Optimized data flow and analytics responsiveness

The platform uses an architecture that enables quick data extraction, backend processing, and load operations. This setup provides near real-time insights and immediate access to reports, allowing teams to make timely data-driven decisions.

Dynamic characteristic configuration

Characteristic columns, allowing control over metadata and filtering in reports can be defined in RDA. This feature improves report customization and helps analytics adapt to changing business dimensions and segmentation needs.

Flexible batch scheduling

The platform provides batch scheduling strategies such as concurrent, staggered, and dependent execution. This allows teams to control the timing and method of data loads. This setup ensures that reporting pipelines match operational priorities and system performance.