About Oracle Analytics Cloud
Oracle Analytics Cloud is an analytics software from Oracle that uses machine learning and AI to analyze data from across the organization so users can make smarter and quicker decisions. It provides accessibility policy, quick links, and integration with Oracle Cloud Infrastructure so users can easily access and manage their data. With built-in connections to Oracle Fusion Cloud Applications and Oracle Database, it supports comprehensive data analysis and reporting capabilities. This platform is designed to help organizations use their data efficiently for informed decision-making. Key capabilities: machine learning integration data visualization self-service analytics cloud deployment accessibility standards Best for: businesses and analysts that need reliable data analytics tools for informed strategic decisions.
Oracle Analytics Cloud (OAC) is a sophisticated data discovery and business intelligence platform developed to empower organizations with the tools necessary for making data-driven decisions. By providing advanced capabilities such as data visualization, augmented analytics, and machine learning, OAC equips businesses to handle complex data sets and extract meaningful insights. Its interactive dashboards and comprehensive reporting features make it a go-to solution for companies looking to elevate their analytics strategies. The user interface of Oracle Analytics Cloud is thoughtfully designed to cater to both technical and non-technical users. With a clean, intuitive layout, users can navigate the platform with relative ease. A standout feature is its drag-and-drop functionality, which simplifies the creation of visualizations and dashboards. However, the breadth of features available on the platform can be overwhelming for new users, presenting a learning curve that requires time and effort to surmount. Despite this, once users acclimate to its intricacies, they find the interface highly efficient for both exploratory and operational analytics. OAC’s functionality is among its strongest assets, offering a diverse set of tools tailored to modern analytics needs.
Pros & Cons
- +Ease of Use: Users find the platform to be user-friendly and easy to navigate, even for non-technical users.
- +Powerful Features: Offers a comprehensive set of features for data ingestion, preparation, visualization, and analysis.
- +Scalability: The cloud-based platform allows for easy scaling up or down as needed.
- +Security: Oracle is known for its secure cloud services.
- +Collaboration: Enables collaborative analytics for workgroups and enterprises.
- +Flexibility: Can be deployed on-premises, in the cloud, or as a hybrid model.
- +Automation: Automates tasks like data preparation and modeling, streamlining workflows.
- +Advanced Analytics: Includes embedded machine learning and natural language processing capabilities.
- +Reporting: Delivers a wide range of reporting options, including dynamic insights and self-service reporting.
- −Mobile App: Lacks a dedicated mobile application.
- −Visualization: While offering visualizations, some users find them less appealing compared to competitors like Tableau and Looker.
- −Scalability Limitations: May not be ideal for very large enterprises that require rapid scaling.
- −Limited Machine Learning: Built-in machine learning capabilities are not as advanced as specialized AI software.
- −Integration: Integrating with other tools can be challenging.
- −Performance: May experience slowdowns when many users access the platform simultaneously.
- −Backup and Recovery: The backup and recovery process is not considered intuitive.
Features
Key features
- 1. Comprehensive Analytics Platform
- OAC is a complete solution for all analytics needs, encompassing data visualization, machine learning, data preparation, and more.
- 2. Cloud-Native
- Delivered as a managed service on Oracle Cloud Infrastructure (OCI), offering flexibility and scalability.
- 3. AI/ML Integration
- Embedded AI/ML capabilities enable users to discover insights, make predictions, and automate tasks.
- 4. Data Connectivity
- Connects to various data sources, including on-premises, cloud-based, and personal datasets.
- 5. Data Preparation
- Includes tools for data cleansing, transformation, and enrichment.
- 6. Data Modeling
- Creates a unified view of data across the enterprise for consistent analysis.
- 7. User-Friendly
- Offers an intuitive interface for both business users and technical professionals.
- 8. Mobile Analytics
- Provides access to analytics on mobile devices.
- 9. Scalability and Performance
- Designed to handle large volumes of data and deliver fast query results.
- 10. Security and Governance
- Robust security features to protect sensitive data and ensure compliance.
- 11. Flexible Pricing
- Offers various pricing models, including pay-as-you-go and named user subscriptions.
Additional features
- 1. Data Visualization and Storytelling
- Create interactive dashboards and reports.
- Build compelling visual stories from data.
- Explore data with drag-and-drop interfaces.
- 2. Machine Learning
- Embedded ML algorithms for predictive modeling.
- AutoML capabilities for automated model building.
- Integration with OCI AI Services.
- 3. Mobile Analytics App
- Access analytics on mobile devices.
- Personalized recommendations and alerts.
- Natural language search and voice commands.
- 4. Open Data Source Connectivity
- Connect to various data sources, including databases, spreadsheets, and cloud data lakes.
- 5. Data Preparation and Enrichment
- Data cleansing, transformation, and enrichment tools.
- Data quality insights and recommendations.
- Visual dataflows for data transformation.
- 6. Enterprise Data Modeling
- Create a unified view of data across the enterprise.
- Define business terms, metrics, and hierarchies.
- Support for multi-table datasets.
- 7. Developer Tools
- Developer panel for performance analysis and debugging. Usage tracking for monitoring platform usage.
- APIs for integrating OAC with other applications.
- 8. Governance and Security
- Role-based access control.
- 9. Data-level security.
- Integration with identity and access management systems.
- 10. Deployment
- Cloud-native service on Oracle Cloud Infrastructure.
- 11. Pricing
- Pay-as-you-go and named user subscription models.
Pricing
Countries & Languages
Interface languages
Billing currencies
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About Oracle Analytics Cloud
Oracle Analytics Cloud is an analytics software from Oracle that uses machine learning and AI to analyze data from across the organization so users can make smarter and quicker decisions. It provides accessibility policy, quick links, and integration with Oracle Cloud Infrastructure so users can easily access and manage their data. With built-in connections to Oracle Fusion Cloud Applications and Oracle Database, it supports comprehensive data analysis and reporting capabilities. This platform is designed to help organizations use their data efficiently for informed decision-making. Key capabilities: machine learning integration data visualization self-service analytics cloud deployment accessibility standards Best for: businesses and analysts that need reliable data analytics tools for informed strategic decisions.
Oracle Analytics Cloud Details
Oracle Analytics Cloud's In-App Market Place
Does Oracle Analytics Cloud have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (CHF), Cny (CN¥), Sek (kr), Nzd (NZ$), Rub (₽), Inr (₹), Brl (R$), Krw (₩), Try (₺), Zar (R), Mxn ($)
Pros & Cons
- Ease of Use: Users find the platform to be user-friendly and easy to navigate, even for non-technical users.
- Powerful Features: Offers a comprehensive set of features for data ingestion, preparation, visualization, and analysis.
- Scalability: The cloud-based platform allows for easy scaling up or down as needed.
- Security: Oracle is known for its secure cloud services.
- Collaboration: Enables collaborative analytics for workgroups and enterprises.
- Flexibility: Can be deployed on-premises, in the cloud, or as a hybrid model.
- Automation: Automates tasks like data preparation and modeling, streamlining workflows.
- Advanced Analytics: Includes embedded machine learning and natural language processing capabilities.
- Reporting: Delivers a wide range of reporting options, including dynamic insights and self-service reporting.
- Mobile App: Lacks a dedicated mobile application.
- Visualization: While offering visualizations, some users find them less appealing compared to competitors like Tableau and Looker.
- Scalability Limitations: May not be ideal for very large enterprises that require rapid scaling.
- Limited Machine Learning: Built-in machine learning capabilities are not as advanced as specialized AI software.
- Integration: Integrating with other tools can be challenging.
- Performance: May experience slowdowns when many users access the platform simultaneously.
- Backup and Recovery: The backup and recovery process is not considered intuitive.
Oracle Analytics Cloud's Support Options
Email Address
support@oracle.comContact
+27113194566Documentation
https://docs.oracle.com/en-us/iaas/Content/home.htmCommunity Forums
https://community.oracle.com/customerconnectChatbot
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