The Oracle Analytics platform is a cloud-native service that provides the capabilities required to address the entire analytics process from data ingestion and modeling, through data preparation and enrichment, to visualization and collaboration without compromising security and governance. Embedded machine learning and natural language processing technologies help increase productivity and build an analytics-driven culture in organizations. Start on-premises or in the cloud—Oracle Analytics supports a hybrid deployment strategy, providing flexible paths to the cloud.
Visually explore data to create and share compelling stories using Oracle Analytics. Discover the signals in data that can turn complex relationships into engaging, meaningful, and easy to understand communications.
Accelerate the analytics process and make decisions with actionable information. A code-free drag-and-drop interface enables anyone in the organization to build interactive data visualizations without specialized skills or programming
Unify data across the organization and from multiple data sources for a complete and consistent view. Oracle Analytics offers more than 35 out-of-the-box native data connection choices, including JDBC (Java Database Connectivity). Securely create, manage, and share data connections with individuals, teams, or the entire organization. Access data wherever it is located: public cloud, private cloud, on-premises, data lakes, databases, or personal datasets, such as spreadsheets or text-based extracts.
Provide a scalable, single view of all data for analysis. Ensure trusted and consistent information across the enterprise with a business representation of data using a shared semantic model without compromising governance. Users access data through non-technical, business terms, predefined hierarchies, consistent calculations, and metrics. Create seamless views across data sources and explore them using native queries that deliver high performance. Easily configure the balance of live and cached connections to ensure high-performance data access.
Use self-service data preparation to ingest, profile, repair, and extend datasets, local or remote, greatly saving time and reducing errors. Data quality insights provide a quick view of data to identify anomalies and help with corrections. The custom reference knowledge feature enables Oracle Analytics to identify more business-specific information and make relevant data enrichment recommendations. Build visual dataflows to transform, merge, and enrich data and save results in Oracle Analytics storage, a connected relational database, or Oracle Essbase.
With the volume, variety, and sources of data constantly growing, machine learning (ML) helps users discover unseen patterns or insights from data. ML built into Oracle Analytics removes human bias and enables users to easily interpret possible outcomes and opportunities. Everyone—from clickers to coders—can use embedded ML to build custom, business-specific models for better decision-making. Business users do not need special technical or programming skills to use ML. In addition, data scientists, engineers, and developers can accelerate model building, training, and publishing by using the Oracle Autonomous Database Python environment as a high-performance computing platform.
Evolving methods of working are demanding more secure data analytics systems. With Oracle Analytics, the semantic layer and data model ensure that everyone uses a common set of curated data and definitions, thereby eliminating inconsistencies. Application and role-based security specify who is authorized to access what. Data-level security enables fine-grained access controls while ensuring that all stakeholders use the same data irrespective of their personalized view and level of access. Plus, native integration with federated identity management systems enables single sign-on (SSO) across applications.
Stay connected with automated delivery of analytics and ongoing monitoring of business performance from anywhere at any time. The Oracle Mobile app learns from each person’s own patterns and data interests to deliver intelligent recommendations for further analyses or data exploration. Use natural language to query data verbally or use search-like patterns in 28 languages. Receive alerts in real time based on different triggers such as when new data or reports become available, a threshold in a metric is reached, or arriving at a specific GPS location.
To ensure predictable costs, Oracle charges only for consumption regardless of the services, features, or roles used.
Oracle Analytics offers two deployment options:
“The capabilities of Oracle Analytics Cloud are wonderful.”
—Risk Management Officer, Finance Industry
“Strong and intuitive data visualization options and solid metadata components.”
—BI Developer in the Healthcare Industry
“Oracle Analytics Cloud provides best of both worlds in governed and ungoverned data.”
—Director, Enterprise Data Services in the Government Industry
Customers around the world gain powerful insights from multiple data sources using Oracle Analytics Cloud, driven by machine learning. Discover who uses Oracle Analytics Cloud and how Oracle technology has helped change their businesses.
Oracle Analytics streamlines data access and preparation from all data sources across the business, enabling better, more informed, fact-based decisions.
Built-in capabilities for self-service data visualization, enterprise reporting, and mobile analytics improve productivity for everyone. Oracle Analytics delivers a comprehensive, unified analytics process.
Using embedded machine learning and natural language processing technologies, Oracle Analytics facilitates forecasting, resulting in less bias and better decisions.
Create a unified view of data, metrics, and insights across the business. Oracle Analytics allows organizations to achieve consistent and accurate analyses for everyone.