Oracle Analytics Cloud Unveiled

Sept. 29 — With rapid adoption of software-as-a-service (SaaS) applications, accumulation of data at unprecedented rates, and growing preference for cloud-based IT deployments, data gravity is moving to the cloud. With that shift, cloud-based analytics has become paramount. Until now, however, analytics technology in the cloud and analytics for cloud-based data have been delivered piecemeal, with significant gaps. Oracle today announced Oracle Analytics Cloud, a comprehensive portfolio of analytics offerings built for the cloud; deployed in the cloud; and enabling data analysis for cloud, on-premises, traditional, and big data sources.

Oracle Analytics Cloud includes:

Business intelligence as a service

Based on Oracle’s proven BI technology, Oracle Business Intelligence Cloud Service (Oracle BI Cloud Service) is optimized for the cloud and empowers users to combine data from diverse sources — including cloud, on-premises, and third-party applications — to quickly create rich, interactive analytic applications.

Oracle BI Cloud Service is a subscription-based cloud offering that allows customers to rapidly deliver analytics to small groups, business departments, or the entire organization, with no capital costs.

Oracle BI Cloud Service allows users of all technical skill levels to quickly and easily create meaningful analytic applications by providing a platform that is quick to start, easy to adopt, mobile, and flexible.

Embedded transactional analytics for line-of-business SaaS users

Oracle Transactional Business Intelligence embeds analytics in Oracle SaaS applications, providing reports and analysis in real time. Coverage includes Oracle Human Capital Management (HCM) Cloud, Oracle Customer Experience (CX) Cloud, and Oracle Enterprise Resource Planning (ERP) Cloud.

Completely integrated within the SaaS applications, Oracle Transactional Business Intelligence automatically extends and adapts reporting anytime the underlying applications are configured. It automatically integrates with security roles of the source applications.

Built for line-of-business users, Oracle Transactional Business Intelligence delivers analysis via interactive dashboards, packaged KPIs, and alerts to desktop and mobile devices.

More than 2 million business users regularly use Oracle Transactional Business Intelligence coupled to their Oracle SaaS applications today.

Deep, cross-source analytics for line-of-business SaaS users

Oracle Transactional Business Intelligence Enterprise brings the power of data warehouse analytics and prebuilt analytic applications to the cloud.

Modeled after Oracle’s BI applications, which have been adopted by 4,000 companies worldwide, Oracle Transactional Business Intelligence Enterprise brings together customer, sales, marketing, finance, supply chain, and other data together for a consistent, cross-enterprise view.

Built for line-of-business users, Oracle Transactional Business Intelligence Enterprise delivers analysis via interactive dashboards, packaged KPIs, and alerts to desktop and mobile devices.

In addition to out-of-box support for Oracle SaaS and on-premises applications, Oracle Transactional Business Intelligence Enterprise can be extended to third-party sources, providing a single, cloud-based mechanism to analyze any data.

Big data as a service

Oracle Big Data Cloud Service enables customers to store, analyze, and process vast amounts of data using the Hadoop framework on a secure, elastic, managed, and easy-to-use infrastructure platform that integrates with other Oracle Cloud services.

Customers may choose Oracle Big Data Cloud Service deployed on either Oracle Compute Cloud Service and Oracle Storage Cloud Service, or on Oracle Exadata and Oracle Big Data Appliance, providing a range of performance, quality of service, and cost options.

Leveraging Oracle Big Data SQL, Hadoop, and Oracle Database as a Service together is the basis for an integrated big data management and analysis capability.

Big data discovery as a service

Enabling easy data wrangling and analysis of Big Data on Hadoop, Oracle Big Data Discovery is the “visual face of Hadoop.”

It uniquely allows business analysts, data scientists, and IT staff to collaborate on big data analytics projects and accelerate the time to value.

Self-service data preparation easily allows users to find, profile, explore, and transform messy Hadoop data to enable meaningful navigation of big data assets without coding.

Self-service analysis is presented through visual, search-based data discovery tools, together with predictive analytics.

Oracle Analytics Cloud offers integrated graph analytics for actionable insights:

• Oracle Analytics Cloud leverages integrated graph analysis capabilities such as enterprise social graph and cross-channel identity graph for actionable insights.
• These capabilities incorporate machine learning techniques utilizing big data algorithms and pattern recognition across enterprise transactions and social interactions to determine successful business patterns.

Oracle Analytics Cloud simplifies administration, helps ensure security, and offers compelling economics:

• Cloud solutions can provide compelling economic value relative to on-premises solutions.
• With Oracle Analytics Cloud, organizations can reduce the costs and resources required, enabling broader exploitation of analytics throughout their organizations.

As with all Oracle Cloud services, users of Oracle Analytics Cloud can expect to enjoy:

• Scalability: The cloud-based model allows organizations to add new users, applications, and analytic capabilities as requirements change and without limit.
• Availability: Oracle Cloud architecture and SLAs deliver high availability.
• Security: Data and analytic applications are hosted in the Oracle Cloud, which meets the industry’s highest security standards.
• Simplicity: Oracle manages patching and upgrades, further freeing up IT resources and ensuring immediate availability of the latest capabilities.
• Elasticity: The service leverages the power of Oracle Cloud infrastructure to support current and future analytic needs.