Oracle Analytics

Explore and search data visually or verbally

Discover the signals in data and make complex analyses engaging, meaningful, and easy to understand. A code-free drag-and-drop interface enables everyone to build interactive data visualizations without specialized skills.

Ask business questions through a simple search-like experience—using text or voice—to obtain spoken narratives of the results, in addition to traditional visualizations and dashboards.

Explainable machine learning

Any user can now see simple explanations of the factors that influenced a machine learning model to predict a certain outcome. In addition, they can interact with a model, adjusting factors to fine-tune the results. For example, of all the factors that influence employees to leave, users can quickly see which were the most determinant and why.

Show data relationships visually

With Graph Analytics it is easy to understand how people and transactions are connected or the shortest distance between two hubs in a network. This has powerful applications in various domains, from marketing and social media to security and compliance. For example, pathfinding lets a user find the shortest path between two points or measure the importance of website pages.

Navigate data with custom map analytics

Easily add maps to dashboards to identify otherwise hard-to-see insights from your information. Layer disparate maps to visualize correlations between unconnected spatial data sets.

Open connectivity

Leave no data behind with more than thirty-five built-in native connectors to popular data from Oracle and non-Oracle data sources. A JDBC connector is also available.

Automated data preparation

Inline data preparation and enrichment allows business users to address data quality issues without resorting to additional tools.