Oracle Analytics supports the entire analytics workflow, offering a variety of ways to connect, prepare, and analyze data. Support business users by enabling self-service access to relevant data no matter where it resides in cloud infrastructure.
The Oracle Analytics platform is available in the cloud with Oracle Analytics Cloud (OAC), on-premises with Oracle Analytics Server (OAS), or in a hybrid deployment using both.
Oracle Analytics connects to many enterprise data sources, including third-party. Connected data sources can be cloud, on-premises, or self-service datasets.
Develop and deliver enterprise-class governed semantic models to ensure a consistent view of business-critical data.
Whether importing data from files or connecting to existing sources, accelerate the last mile of data preparation.
Ensure that business users access up-to-date, certified reports from verified datasources that leverage approved metrics, calculations, and KPIs.
Oracle Analytics can be launched directly from a browser on any device, embedded in internally or externally facing sites, or accessed via mobile.
Oracle, planlama ve benimseme aşamasından sürekli inovasyona kadar yolculuğunuzun her adımında başarılı olmanız için gereken teknolojiyi ve rehberliği sunar.
Explore how you’d use our products on a daily basis in these product tours that showcase key features and benefits.
The best way to learn is to try it yourself. Join a workshop with the Oracle Cloud Free Tier, your own Oracle Cloud tenancy, or an Oracle-provided free lab environment (for selected solutions).
Learn how composable solutions can work for your organization. Join our weekly, 30-minute demos with product experts who will walk you through our key features and answer live questions.
Get a firsthand look at how extending Oracle Fusion Analytics with a data lakehouse can reveal new opportunities, optimize efficiencies, and increase customer satisfaction across your business.
Read our capabilities explorer to learn more about how the Oracle Analytics platform addresses the needs of the entire analytics process—from data ingestion, to preparation and enrichment, to visualization and collaboration.