Oracle Analytics Cloud

Oracle Analytics Cloud provides the industry’s most comprehensive cloud analytics in a single unified platform, including everything from self-service visualization and powerful inline data preparation to enterprise reporting, advanced analytics, and self-learning analytics that deliver proactive insights. Oracle Analytics Cloud is a scalable and secure Oracle Cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you, your workgroup, and your enterprise.

With Oracle Analytics Cloud you also get flexible service management capabilities, including fast setup, easy scaling and patching, and automated lifecycle management.

Oracle Analytics Cloud is built on a high-performance platform with flexible data storage and provides you with a complete set of tools to derive and share data insights.

• Data connectivity: Unify your data sources using a wide range of out-of-the-box data connections. Or use JDBC (Java Database Connectivity) for other sources and legacy systems. Access all your data, including personal data sets like Excel or CSV, wherever they’re located. Securely create, manage and share connections with your team or across the organization.
• Data preparation: Ingest, profile, and cleanse your data using a variety of algorithms.
• Data flow: Transform and aggregate your data and then run machine-learning models at scale.
• Data modelling: Develop trusted and governed semantic models to ensure a consistent view of business-critical data. Use semantic models to ensure trusted numbers across your enterprise, regardless of which visualization you choose. Business users can directly join tables through self-service, and share self-service data models with their colleagues.
• Data visualization: Visualize and explore your data, on any device, on-premises, and in the cloud. See the signals in your data and make complex ideas engaging, meaningful, and easy to understand.
• Data discovery: Subject matter experts can easily collaborate with other business users, blending intelligent analysis at scale and machine learning insights.
• Data collaboration: Large organizations and small teams can share data more simply, without the need to manage or consolidate multiple versions of spreadsheets, and quickly perform ad hoc analysis of their spreadsheet data. Data-level security enables fine-grained access to ensure that your team or users can share reports but see only data they have access to.
• Data access: Stay connected with automated delivery of analytics and monitor ongoing business performance from anywhere at any time. Mobile apps learn from your unique patterns and data interests to deliver intelligent recommendations for further analysis or data exploration.
• Data-driven: Application developers can utilize interfaces that enable them to extend, customize, and embed rich analytic experiences in the application flow.

Oracle Analytics Cloud (OAC) is a cloud-based analytics platform provided by Oracle that enables organizations to analyze and visualize their data. It offers a suite of tools and services to support business intelligence, data discovery, and reporting capabilities. Here are some key features and components associated with Oracle Analytics Cloud:

1. Data Visualization: OAC allows users to create interactive and visually appealing data visualizations. Users can explore data, build dashboards, and create compelling visual representations of their business data without requiring advanced technical skills.

2. Self-Service Analytics: One of the primary strengths of OAC is its emphasis on self-service analytics. Users, including business analysts and non-technical users, can independently create and share analyses without heavy reliance on IT.

3. Data Preparation: OAC includes features for data preparation and cleansing. Users can connect to various data sources, blend data, and transform it to make it suitable for analysis. This helps in ensuring that data used in analyses is accurate and relevant.

4. Machine Learning and Advanced Analytics: OAC incorporates machine learning and advanced analytics capabilities, allowing users to apply predictive analytics and machine learning algorithms to their data. This enables the discovery of hidden patterns and trends within the data.

5. Mobile Analytics: OAC supports mobile analytics, allowing users to access and interact with their analytics content on mobile devices. This facilitates on-the-go decision-making and collaboration.

6. Integration with Oracle Cloud Services: OAC seamlessly integrates with other Oracle Cloud services, such as Oracle Autonomous Database and Oracle Cloud Infrastructure. This integration allows for a unified and comprehensive cloud-based analytics solution.

7. Governance and Security: OAC includes features for governance and security, ensuring that organizations can control access to sensitive data and maintain compliance with regulations. It also provides tools for managing metadata and ensuring data consistency.

8. Collaboration and Sharing: OAC supports collaboration features, enabling users to share insights, analyses, and dashboards with team members. This fosters a collaborative and data-driven decision-making culture within organizations.

9. Data Connectivity: OAC supports connectivity to a wide range of data sources, including Oracle databases, cloud-based data sources, and other third-party data repositories. This flexibility allows organizations to leverage their existing data infrastructure.