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Analytics Platform Capabilities Explorer


Data visualization is a fundamental component of every analytics system. Without visualizations, it is difficult to quickly consume dense information or large data sets. Highly visual, interactive analytics dashboards provide graphics to explore relationships between variables, identify patterns, trends, outliers, and variances. Oracle Analytics provides an easy-to-use, click-and-drag interface that allows any user to blend data sets, explore their data, and construct visual stories for stakeholders—without the need for separate tools.

Self-service data visualization

Instantly visualize data, jump-starting the analytics process. Natural language processing (NLP) powers text and speech for conversational search and analysis; simply ask a question and get a visual answer. Build compelling, visual stories with automated chart and graph recommendations. Get started quickly with more than 45 out-of-the-box visualizations, including Waterfall Bridge Report, Spark Chart on Performance Tiles, Heat Map Layers, and custom image maps. Create custom, interactive visuals from any image through geospatial analysis with built-in and custom map layers. Tell a more complete data story with composite visualizations that display multiple related metrics in one view. Upload images and create map layers with custom areas and no-code shape definitions that are bound to data.

Figure 1: Oracle Analytics self-service data visualization example
Watch an NLP demo (1:16)

Governed reports and dashboards

Build and centrally manage reports and interactive dashboards to ensure governance and control. Create static reports or fully interactive parameterized dashboards with functions such as drill down and filtering. Ensure that business users access certified reports from verified data sources that leverage approved metrics, calculations, and KPIs. Update once to ensure everyone uses the correct version data. Schedule reports to automatically refresh and notify business users. When authorized, users can print, share, and save reports or export the base data. Integration with wider services allow users to act on information directly from the report.

Figure 2: Oracle Analytics homepage

Figure 3: Oracle Analytics centralized dashboard example

Pixel-perfect, high-volume reporting

Oracle Analytics includes Oracle Analytics Publisher (also called Oracle Business Intelligence Publisher) that provides high-volume reporting capabilities from any data set or semantic model. Author, manage, and deliver highly formatted, pixel-perfect documents, such as operational reports, electronic funds transfer documents, government PDF forms, shipping labels, checks, sales and marketing letters, and more.

Watch a one-click forecasting demo (1:18)

Machine learning for business users

The Oracle Analytics platform has machine learning embedded into every aspect of the analytics process and supports every role, from clickers to coders. For more advanced and customizable ML capabilities for citizen data scientists and data scientists, see section Preparing and enriching source data.

One-click, advanced analytics displays quick forecasts, trend lines, clusters, and reference lines. Users can customize the prediction interval and model type of the built-in algorithms to better fit the data and business use case.

Figure 4: Adding a forecast with one-click

The Explain capability examines the data set to identify meaningful business drivers, contextual insights, and data anomalies with only a few clicks and no coding. Choose visuals and findings from Explain to start a new dashboard and story.

Figure 5: Automatically generate analytics-driven visual insights

The Auto-Insights capability examines data sets and uses ML to automatically create visual insights with all available metrics and attributes. This can lead to undiscovered connections and patterns in the data that may otherwise not have been considered. With one click, Oracle Analytics will display a range of visualizations with detail descriptions that can be easily added to your project canvas. All calculations used to derive the insights are transparent and editable.

Figure 6: Explaining metrics or attributes with one-click

Use the Explain and Auto-Insights capabilities to start your projects with ML–powered, analytics-driven insights and avoid the blank canvas syndrome and biased outcomes.

Natural language

Leverage AI-powered natural language processing and natural language generation (NLG) to better interact and understand analytics. Simply use natural language—spoken or search keywords—to query any information from Oracle Analytics data sets and semantic layer, without the need to understand where the data resides or the composition of the data set. Automatically render visualizations in context as the query is being built.

Figure 7: Natural language querying (NLP)

NLG creates smart textual narratives of visualizations that, by default, are connected live to the data source and interact with other data objects on the canvas, such as visualizations and filters. The narrative detail has seven selectable levels and the description can be set to either “trend” or “breakdown.” Textual narratives are available in multiple languages. Using the mobile app, spoken narratives, such as podcasts, can be generated for listening to for an eyes-free experience.

Figure 8: Natural language generation (NLG)

Composite visualizations

Composite visualizations are designed to provide more comprehensive and intuitive visual insights into data by visualizing additional metrics and dimensions more densely in a single visualization object. These visuals are created using a combination of multiple visuals in one chart, such as line graphs and bar charts. This allows users to gain a better understanding of the data, identify correlations, and spot trends—all in a single visual. Composite visualizations can help users not only to identify correlations between different sets of data but also to uncover trends and patterns that may otherwise be overlooked. This can help inform business decisions and increase efficiency.

Figure 9: Show more information in less space with composite visualizations

Performance monitoring

With developer mode, analysts and developers can monitor the performance of individual visualizations or a complete canvas. This provides the opportunity to find any objects that are underperforming, identify any issues, and correct them. Developers can examine logical SQL created for analyses, observe which queries are generated, and see the execution log.

Figure 10: Oracle data visualization canvas developer mode

Use developer mode to obtain the HTML embed code and place any of the live visualization objects into other web pages.

Conditional formatting

Set conditional formatting rules on reports, visualizations, tables, and pivot tables. Rules can be applied to either a specific chart, to all charts on a page, or to an actual metric. Use the sophisticated rules engine to express complex formatting logic.

Figure 11: Setting conditional formatting parameters

Custom visualizations

Oracle Analytics includes more than 45 different built-in visualization types. For any cases that require unique or specialized visuals, the prebuilt visualization library can be easily extended with D3 graphics. Either choose from Oracle Analytics’ extensions library or your favorite source for D3 graphics, like GitHub.