Oracle Analytics Cloud

Oracle Analytics helps organizations discover unseen insights from their data. It offers powerful data preparation, data enrichment and visualization as well as embedded machine learning capabilities. This unified platform eliminates the need for multiple expensive tools and complex architectures, enabling people of all roles to quickly explore, transform, and visualize data without specialized skills. Oracle Analytics supports both on-premises and cloud deployments, offering an adaptable path to the cloud. Data visualization: Discover how Oracle Analytics can help explore data visually and create compelling stories. Uncover the signals in your data that can be conveyed in compelling visual stories. Speed up the data analysis process and make fast decisions with actionable information. With a code-free, drag-and-drop interface, anyone can build interactive data visualizations, no special skills required! Machine learning: ML makes it easy to discover unseen patterns and insights from large and varied data from many data sources. Oracle Analytics removes human bias and lets users easily interpret potential outcomes and opportunities. Extend Oracle Analytic’s capabilities by seamlessly integrating additional OCI AI Services (like AI Vision and AI Language) for use in analytics projects. Business users don't need special skills to run certified machine learning models on their data sets. Data scientists, engineers and developers can speed up model building, training, and publishing with Oracle Autonomous Database as a high-performance compute platform using language choices like Python, R and SQL. Data preparation and enrichment: Make use of self-service data ingestion, profiling, repair, and extension for local and remote datasets, saving time and alleviating potential human error. Data Quality Insights can be used to quickly scan data and spot discrepancies that otherwise may go unnoticed, and Custom Reference Knowledge helps to identify business-specific information and provide data enrichment suggestions. Visual dataflows can be constructed to modify, combine, and enrich data, storing the results within Oracle Analytics, a connected relational database (ex. Snowflake or MySQL), or Oracle Essbase. Data sources: Unify information across your organization and multiple sources for a comprehensive and consistent view. Oracle Analytics offers more than 35 native data connection choices, including JDBC, Snowflake, Google BigQuery, Salesforce. Create, manage, and share data connections securely with individuals, teams, or the entire organization. Access data no matter where it's located: public/private cloud, on-premises, data lakes, databases, or personal datasets like spreadsheets or text extracts. Data modelling: Achieve trusted, consistent information across your enterprise with a business representation of data, without compromising governance. Non-technical users can access data with business terms, pre-defined hierarchies, consistent calculations, and metrics. Create seamless, high-performance views across data sources with a configurable balance of live and cached connections. Support multiple data visualization tools like Power BI or Tableau and retain a consistent, trusted view of enterprise metrics.