Oracle Analytics is a comprehensive platform designed to empower organizations with advanced, AI-driven analytics capabilities. It enables users across various roles—business analysts, data scientists, and executives—to access, prepare, and analyze data from diverse sources, facilitating informed decision-making and fostering an analytics-driven culture.
Key Features and Functionality:
- Data Connectivity: Offers over 35 native data connectors, including JDBC, Snowflake, Google BigQuery, and Salesforce, allowing seamless integration with data from public and private clouds, on-premises systems, data lakes, and personal datasets.
- Data Preparation and Enrichment: Provides self-service tools for data ingestion, profiling, repair, and enrichment, enabling users to prepare datasets efficiently without the need for external tools.
- Advanced Data Modeling: Utilizes a shared semantic model to present data in non-technical business terms, ensuring consistency and governance across the enterprise.
- Machine Learning and AI Integration: Embeds machine learning throughout the platform, offering features like automated data discovery, predictive analytics, and natural language processing to uncover hidden patterns and insights.
- Data Visualization and Storytelling: Features an intuitive, code-free interface for creating interactive visualizations and compelling data narratives, making complex data relationships easily understandable.
- Mobile Analytics: Delivers real-time analytics and personalized insights through a mobile app, supporting natural language queries and providing intelligent recommendations based on user behavior.
- Deployment Flexibility: Available as a cloud-native service (Oracle Analytics Cloud or an on-premises solution (Oracle Analytics Server, catering to various organizational needs without compromising security or governance.
Primary Value and User Solutions:
Oracle Analytics addresses the entire analytics workflow, from data connection and preparation to visualization and collaboration. By integrating AI and machine learning, it automates complex processes, reduces reliance on IT, and empowers users to derive actionable insights swiftly. This comprehensive approach enhances productivity, ensures data consistency, and supports informed decision-making across the organization.
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Oracle Analytics Platform CommunityProduct Description
Oracle Analytics is a comprehensive platform designed to empower organizations with advanced, AI-driven analytics capabilities. It enables users across various roles—business analysts, data scientists, and executives—to access, prepare, and analyze data from diverse sources, facilitating informed decision-making and fostering an analytics-driven culture.
Key Features and Functionality:
- Data Connectivity: Offers over 35 native data connectors, including JDBC, Snowflake, Google BigQuery, and Salesforce, allowing seamless integration with data from public and private clouds, on-premises systems, data lakes, and personal datasets.
- Data Preparation and Enrichment: Provides self-service tools for data ingestion, profiling, repair, and enrichment, enabling users to prepare datasets efficiently without the need for external tools.
- Advanced Data Modeling: Utilizes a shared semantic model to present data in non-technical business terms, ensuring consistency and governance across the enterprise.
- Machine Learning and AI Integration: Embeds machine learning throughout the platform, offering features like automated data discovery, predictive analytics, and natural language processing to uncover hidden patterns and insights.
- Data Visualization and Storytelling: Features an intuitive, code-free interface for creating interactive visualizations and compelling data narratives, making complex data relationships easily understandable.
- Mobile Analytics: Delivers real-time analytics and personalized insights through a mobile app, supporting natural language queries and providing intelligent recommendations based on user behavior.
- Deployment Flexibility: Available as a cloud-native service (Oracle Analytics Cloud or an on-premises solution (Oracle Analytics Server, catering to various organizational needs without compromising security or governance.
Primary Value and User Solutions:
Oracle Analytics addresses the entire analytics workflow, from data connection and preparation to visualization and collaboration. By integrating AI and machine learning, it automates complex processes, reduces reliance on IT, and empowers users to derive actionable insights swiftly. This comprehensive approach enhances productivity, ensures data consistency, and supports informed decision-making across the organization.
