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Oracle Analytics Cloud and Server

Oracle Analytics Cloud and Server Roadmap

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle's products may change and remains at the sole discretion of Oracle Corporation.

When features are released, you can find them on our What’s New page.

See the Roadmap

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Data Connectivity

Q3 2020
  1. 1. Direct connectivity to EPM Cloud
    The new EPM direct connector allows self-service users to create a connection to EPM Cloud, without having to create a Subject Area.
  2. 2. New metadata for EPM Cloud: Hierarchy Generations
    Connecting to EPM Cloud using the new direct connector or via a Subject Area will offer generation columns for hierarchies similar to those already available for Essbase sources. Generation columns will include coverage for member names and aliases.
  3. 3. Microsoft Azure SQL Database certification
    Ability to use the SQL Server data direct connector and Remote Data Gateway with Azure SQL databases.
  4. 4. Remote Data Gateway support for MySQL
    Access on-premises MySQL databases using Remote Data Gateway.
  5. Q4 2020
    1. 1. Support for generic JDBC data sources
      This extended support for the JDBC connection type lets you configure unlimited access from OAC to other JDBC connections.
    2. 2. JDBC driver for accessing Oracle Analytics Cloud
      Ability to connect and query Oracle Analytics Cloud Data Models and Data Sets using a JDBC driver.
    3. 3. Connectivity to Google BigQuery
      Connect to Google BigQuery from Oracle Analytics Cloud Data Models and for Data Sets creation
    4. 4. Remote Data Gateway support for accessing Essbase via a Subject Area
      Extend the Remote Data Gateway support for Oracle Essbase to enable secured access to on-premises Essbase deployments via Subject Areas
    5. 5. Access Fusion Applications from Oracle Analytics Publisher
      Connect to Fusion Applications from Oracle Analytics Publisher. You can additionally use the data source in data models you create.

Data Modeling & Preparation

Q3 2020
  1. 1. Simplify the Data Set Editor
    Simplify and reduce the steps required to create a Data Set. Business analysts can now achieve all the Data Set editor existing and new tasks in a single page.
  2. 2. Support for RegEx in the Replace tool within Data Prep
    Support for Regular Expressions (Regex) within the Replace tool in Data Prep provides the ability to do sophisticated search and replace operations across Data Set values.
Q4 2020
  1. 1. Scheduled refresh for Data Sets
    Data Set snapshots will offer a custom refresh schedule to retrieve fresh data from data sources and applications based on a pre-defined and predictable schedule.
  2. 2. Advanced self-service Data Sets
    Expand the existing Data Sets to include not only multiple tables and defined join relationships, but also tables for heterogeneous sources within a single Join diagram saved as a single Data Set that can be shared and collaborated with across multiple users.
  3. 3. Introduce custom knowledge into the enrichment knowledge base
    Oracle Analytics provides the ability to recommend enrichments and transformation for various Data Set columns based on built-in knowledge and Machine Learning-based data profiling engine. Custom knowledge will allow you to introduce your own enrichment sources into the knowledge system. This capability will automatically introduce these sources into the profiling engine which will generate appropriate recommendations when similar patterns are identified.
Q1 2021
  1. 1. Data quality insights
    Data quality issues within Data Sets sometimes surface only once the data is visualized and explored, and in some cases, the issues remain unseen unless specifically queried. Oracle Analytics Data Profiler can automatically identify quality issues and present a quality insight for each column surfacing possible issues. You can fix the issues interactively and obtain higher confidence in your analysis.

Data Visualizations

Q3 2020
  1. 1. Placed customized filters on the Canvas
    Create beautiful dashboards with full control of filter placement inside your canvas. You can now provide your consumers the ability to access on-canvas filters for a simple analytics experience.
  2. 2. Digitized custom map layers – create interactive visualizations from any image
    Easily create custom interactive visuals from any image. You can upload images, define relationship between image areas to data values using a no-code design tool, and use these images either as interactive visualizations or filter experiences.
  3. 3. Pivot/Table flexible and persistent cell sizing
    Present your pivot tables with clarity. You can now control the column/row size within the Pivot and Table visualizations to fine-tune the experience to fit the data and your visual goal.
  4. 4. Add Sparkchart to any Tile Visualization
    Performance tiles are an important visualization in many dashboards, but sometime there is a need for more data to tell a full story. Oracle Analytics Tiles will be able to include Sparkcharts (mini charts) within them to show trends and indicator about the data behind the tile.
  5. 5. Waterfall Chart enhancements
    Increasing the flexibility and scope of our visualization is a key part of every release. One of our focus areas is to improve the usability and applicability of Waterfall charts in many use cases. With this set of improvements, you will be able to control various aspects such as color setting for start/end, increase/decrease bars, and specify unique colors for specific data bar that help identify key data points.
  6. 6. Enable Top/Bottom N filters for attribute filter
    In addition to the Top/Bottom filter type for Measures, we added a similar capability of Top/Bottom N for Attribute Filters. These advanced filter capabilities bring simplicity and power to analysts.
  7. 7. Disable Map gestures
    In some cases, the map on your dashboard look just right and you do not want to allow users to navigate around and lose the context of the data. This capability will allow you to disable integrative gestures on the map and leave the geo navigation to the data.
  8. 8. Improved map rendering and interaction performance
    Rendering large maps with thousands of data points just got better with increased speed and scale.
Q4 2020
  1. 1. Support for Subject Area hierarchies in Self-Service pivot and table
    Within Oracle Analytics self-service exploration, you will have the ability to drill up and down pre-defined subject area hierarchies.
  2. Q1 2021
    1. 1. Conditional Formatting
      Expand the Oracle Analytics self-service color management capabilities to be able to define threshold and target-based conditional formatting for every measure, then apply it to specific visualizations as needed.
    2. 2. Layers based flexible Combo Chart
      Combo charts are a powerful tool in Oracle Analytics, offering the ability to mix different chart types into one. We will be adding more chart types that can be mixed together and a layer-based approach for organizing and constructing your chart.
    3. 3. Support for Mapbox maps and interaction
      Mapbox provides a high performance and fluid mapping experience to support even the most complex spatial scenarios.

Augmented Analytics

Q3 2020
  1. 1. Register and Consume Oracle Machine Learning models in Data Flows
    Machine Learning models often exist in different platforms which makes it hard for them to be used and consumed by the business analysts. With this capability, you will be able to register Machine Learning models stored in Oracle Machine Learning (OML) in Oracle Analytics and use them for predictive analysis within Data Flows. This leverages the database scale and performance as the execution layer, reducing data movement and increasing performance at scale.
  2. 2. Databases Advanced Analytics functions in Data Flows
    Data Flows will be able to utilize the Oracle Database unsupervised advanced analytics functions such as dynamic clustering, regression, classification, feature extraction, and more, while function shipping the execution to the database layer.
  3. 3. Improved and fine tune Forecast quality
    Forecasting data is used now more than ever, and users rely on data quality. Feel more confident in your data with improved and optimized algorithms used for one-click forecasting.
  4. 4. Additional output details for Machine Learning training Data Flows
    Machine Learning training process output will include additional information about the training process and the resulting models for improved explainable AI capabilities.
  5. Q4 2020
    1. 1. Improved Natural Language Generation
      Creating narrative reports with Natural Language Generation (NLG) is now even more powerful with the support of multiple attributes and measures using more inputs to generate in-depth analysis of your data. We will introduce additional data awareness to the NLG engine to generate focused insights.
    2. 2. Unpivot Columns to rows in Data Flows for Oracle Data Sets using Oracle Advanced Analytics Functions
      Support for the Oracle Database Unsupervised Advanced Analytics function for quickly Unpivoting data as part of the data preparation process.
    3. 3. Sample Data in Data Flows for Oracle Data Sets using Oracle Advanced Analytics Functions
      Support for the Oracle Database Unsupervised Advanced Analytics function for smart sampling of data to be used for Machine Learning training and other purposes where a representative subset of data is required.
Q3 2020
  1. 1. Responsive Canvas layouts
    More dashboard design options will be added to allow responsive growth of the canvas on both axes based on author content and adaptation to different screen resolutions.
  2. 2. Admin ability to push content into Day by Day feeds for suggested viewing
    Create your own organization ‘suggested viewing’ insights or proactive content publishing into Day by Day using this administrator capability to seed the Day by Day feeds for all or some users.
  3. 3. Improved visibility and usability of the Canvas bar
    Creating a project means you will have many different Canvases that you create and need to navigate. You will love the improved content density of canvas names for better visibility and quick duplication of a canvas for iterative report creation and testing.
  4. 4. Duplicate/Copy Canvas to appear after the targeted canvas
    While duplicating or copying canvas tabs, new canvases will appear next to the original and not at the end of the list for ease of accessibility.
  5. 5. Improved System Setting interface
    The system setting interface is streamlined for faster navigation.
  6. Q4 2020
    1. 1. Allow charts to regain title area if title is hidden
      Get the most out of the chart area by regaining white space when you choose not to use certain chart elements such as the title.
    2. 2. Allow for simple presentation creation
      Presentation mode for your projects will be automatically created, saving you the initial creation time to help you focus on customization and organization.
    3. 3. Copy/Duplicate My Calculations
      Developers can quickly Copy and Duplicate Custom Calculations giving them the speed of calculation creation for derivates of calculations, backup copies, or testing syntax scenarios quickly.
    4. 4. Copy My Calculations expressions to the clipboard
      This is a simple time saving option to copy an entire expression to the clipboard without opening the formula editor.
    5. Q1 2021
      1. 1. Customize actions and options available in consumer mode
        Fine tune the consumer experience of your projects with detailed design and user interaction options.

Security & Governance

Q3 2020
  1. 1. Oracle Analytics Server for Windows
    Support for installations of Oracle Analytics Server (OAS) on the Windows operating system.
  2. 2. Support Microsoft SQL Server as an Oracle Analytics Server repository
    Support for SQL Server as a repository database for Oracle Analytics Server.
  3. 3. Access Oracle Analytics Cloud via a private IP
    Assign and use a restricted private end point for your organization Oracle Analytics Cloud instance.
  4. Q4 2020
  5. 1. Access remote sources via VPN
    In addition to the existing ability to access your remote data sources using Remote Data Gateway, you will be able to use direct access to these sources within a Virtual Private Network.