Oracle Analytics Cloud Features
What are the features of Oracle Analytics Cloud?
Reports
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards
Self Service
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling
Advanced Analytics
- Predictive Analytics
- Data Visualization
- Big Data Services
Building Reports
- Data Modeling
Oracle Analytics Cloud Categories on G2
Filter for Features
Reports
Reports Interface | Based on 149 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use. | 84% (Based on 149 reviews) | |
Steps to Answer | Based on 146 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Requires a minimal number of steps/clicks to answer business question. | 79% (Based on 146 reviews) | |
Graphs and Charts | Based on 139 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats. | 83% (Based on 139 reviews) | |
Score Cards | Based on 111 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Score cards visually track KPI's. | 80% (Based on 111 reviews) | |
Dashboards | Based on 139 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards | 86% (Based on 139 reviews) |
Self Service
Calculated Fields | Based on 137 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values. | 82% (Based on 137 reviews) | |
Data Column Filtering | Based on 137 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters. | 84% (Based on 137 reviews) | |
Data Discovery | Based on 126 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights. | 81% (Based on 126 reviews) | |
Search | Based on 110 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Ability to search global data set to find and discover data. | 79% (Based on 110 reviews) | |
Collaboration / Workflow | Based on 121 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. | 76% (Based on 121 reviews) | |
Automodeling | Based on 110 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Tool automatically suggests data types, schemas and hierarchies. | 76% (Based on 110 reviews) |
Advanced Analytics
Predictive Analytics | Based on 107 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Analyze current and historical trends to make predictions about future events. | 80% (Based on 107 reviews) | |
Data Visualization | Based on 124 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques. | 84% (Based on 124 reviews) | |
Big Data Services | Based on 92 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Ability to handle large, complex, and/or siloed data sets. | 82% (Based on 92 reviews) |
Building Reports
Data Transformation | Based on 76 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Converts data formats of source data into the format required for the reporting system without mistakes. | 82% (Based on 76 reviews) | |
Data Modeling | Based on 79 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Ability to (re)structure data in a manner that allows extracting insights fast and accurate. | 79% (Based on 79 reviews) | |
WYSIWYG Report Design | Based on 68 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) | 77% (Based on 68 reviews) | |
Integration APIs | Based on 58 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications. | 75% (Based on 58 reviews) |
Data Preparation
Connectors | Based on 48 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications. | 87% (Based on 48 reviews) | |
Data Governance | Based on 48 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data | 86% (Based on 48 reviews) |
Data Modeling and Blending
Data Querying | Based on 50 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values | 88% (Based on 50 reviews) | |
Data Filtering | Based on 50 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters. | 90% (Based on 50 reviews) | |
Data Blending | Based on 50 Oracle Analytics Cloud reviews and verified by the G2 Product R&D team. Allows the user to combine data from multiple sources into a functioning dataset. | 88% (Based on 50 reviews) |
Generative AI
AI Text Generation | As reported in 41 Oracle Analytics Cloud reviews. Allows users to generate text based on a text prompt. | 84% (Based on 41 reviews) | |
AI Text Summarization | Condenses long documents or text into a brief summary. This feature was mentioned in 42 Oracle Analytics Cloud reviews. | 84% (Based on 42 reviews) |
Agentic AI - Analytics Platforms
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Deployment & Integration - Analytics Platforms
No-code Dashboard Builder | Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces | Not enough data | |
Report Scheduling and Automation | Enables automated report generation and scheduled delivery to stakeholders | Not enough data | |
Embedded Analytics and White-labeling | Allows dashboards and analytics to be embedded into external apps with branding flexibility | Not enough data | |
Data Source Connectivity | Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications | Not enough data |
Performance & Scalability - Analytics Platforms
Large data handling and Query Speed | Efficiently processes large datasets with minimal lag and ensures high performance under load | Not enough data | |
Concurrent User Support | Maintains performance and uptime during high traffic from multiple users or teams | Not enough data |
Advanced Analytics & Modeling - Analytics Platforms
Data Modeling and Governance | Supports semantic data layers, role-based access controls, and metadata governance | Not enough data | |
Notebook and Script Integration | Integrates with Jupyter, Python, or R for custom analytics and modeling | Not enough data | |
Built-in Predictive and Statistical Models | Provides native tools for statistical analysis, forecasting, and trend prediction | Not enough data |
Agentic AI Capabilities - Analytics Platforms
Auto-generated Insights and Narratives | Uses AI to generate textual summaries, key takeaways, and data stories from dashboards | Not enough data | |
Natural Language Queries | Allows users to query data and build reports using conversational or plain language | Not enough data | |
Proactive KPI Monitoring and Alerts | Detects and notifies users about KPI anomalies or significant metric changes in real time | Not enough data | |
AI Agents for Analytical Follow-ups | Recommends next questions, analyses, or exploration paths using autonomous AI agents | Not enough data |
Personalized Intelligence - Analytics Platforms
Behavioral Learning for Contextual Query Refinement | Learns from historical user interactions to improve and personalize query results over time | Not enough data | |
Role-based Insight Personalization | Tailors dashboard views and suggestions based on user roles, access levels, and past behavior | Not enough data | |
Conversational and Prompt-based Analytics | Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying | Not enough data |
