The Oracle Analytics platform is a cloud native service that provides the capabilities required to address the entire analytics process including data ingestion and modeling, data preparation and enrichment, and 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 data 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.
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.
Gain 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 nontechnical business terms, predefined hierarchies, consistent calculations, and metrics. Create seamless views across data sources visually explore them using native queries that deliver high performance. Easily configure the balance of live and cached connections to ensure high-performance data access. Support multiple data visualization tools, such as Microsoft Power BI, and retain a consistent and trusted view of enterprise metrics.
Use self-service data preparation to ingest, profile, repair, and extend datasets, local or remote, greatly saving time and reducing errors. Data quality insights provides a quick view of data to identify anomalies and help with corrections. The custom reference knowledge capability 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 (e.g. Snowflake or MySQL), 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. Integrate OCI AI Services for use directly in analytics projects. 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 environment as a high performance computing platform with your choice of language, including Python, R, and SQL.
The analytics developer panel provides detailed technical information about data visualization projects. Identify potential performance issues down to the individual visualization object. View the logical SQL and execution logs to help identify problems. Copy autogenerated HTML code to embed any visualization into other web applications.
Built-in platform usage tracking shows what content is being used and by who. Increase the analytics platform’s adoption by proactively updating less-used content and ensuring popular content is served as quickly as possible. Create a better user experience by safely removing old and unused data and analytics content.
Use the OCI command line interface to operationalize and automate administrative tasks, such as starting, stopping, or scaling the OAC instance.
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 reducing 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.
Oracle Analytics offers several deployment options:
To help ensure costs are manageable and predictable, Oracle charges only for consumption regardless of the Oracle Analytics features or roles used. Analytics Cloud (OAC) has flexible pricing available as either consumption of OCPU/hour or as user/month. Named user subscriptions start at $162.30/month (OAC Professional Edition with ten named users). Analytics Server (OAS) provides perpetual named user licenses or by CPU license deployed into the customer’s data center of choice.
Existing Oracle Business Intelligence (OBIEE) customers can also use the bring your own license (BYOL) model. Learn more about OCI pricing models, such as Bring Your Own License (BYOL) and Pay As You Go (PAYG).
“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
Deploy in the cloud, on-premises, or hybrid.
Connect Oracle and non-Oracle data sources, including Microsoft Azure, Google Cloud Platform, and other cloud providers.
Build and publish a consistent view of all data through metrics and KPIs that anyone can understand.
Get data ready for analytics with built-in data prep and enrichment capabilities.
Explore data sets, understand patterns, outliers, and predictions with visual, interactive dashboards.
Deliver a consistent experience through web, mobile, and embedded analytics.
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.