Announcing the general availability of Oracle Analytics Server 2024

March 18, 2024 | 4 minute read
Alan Lee
Senior Director, Product Management
Nick Engelhardt
Senior Director, Oracle Analytics
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We are proud to announce the general availability of Oracle Analytics Server 2024.  This release introduces over one hundred new capabilities that enhance the analytics experience across all users within an organization. New innovations enable customers to gain deeper insights from their data and take actions that result in better business outcomes. 

OAS is a unified analytics platform deployed by customers

The Oracle Analytics platform provides the capabilities required to address the entire analytics workflow, including data ingestion and modeling, data preparation and enrichment, and visualization and collaboration without compromising security and governance. Oracle Analytics Server (OAS) is a customer-managed deployment of the Oracle Analytics platform that can be customized by the organization. OAS can be implemented either on-premises or on cloud infrastructure such as Oracle Cloud Infrastructure (OCI), Microsoft Azure, or AWS. For OCI, the deployment can be streamlined using OCI Marketplace.

For Oracle Business Intelligence Enterprise Edition (OBIEE) customers inclined to manage their own deployments, OAS provides a straightforward path to a modern analytics experience. With the impending end of Lifetime Support dates for OBIEE, upgrading to Oracle Analytics Server is a great solution to  continue on a strategic analytics platform. There are numerous supported options for upgrading from OBIEE to OAS.

Top five new features in Oracle Analytics Server 2024

Enhanced AI and ML

OCI Document Understanding integration

Figure 1: OCI Document Understanding passport analytics

With the power of Oracle Cloud Infrastructure AI Services and AutoML capabilities within the Oracle Autonomous Database, Oracle Analytics Server 2024 can help organizations open new opportunities for growth and improve their operations. For example, organizations can leverage pre-built OCI Document Understanding models to classify documents and extract key values, enabling easier extraction of information. In addition, Oracle Analytics Server 2024 helps identify personal identifiable information (PII) data via OCI Language service’s pretrained custom model for PII that can mask sensitive data, which may help ensure better data privacy. By leveraging the AutoML capabilities in Oracle Autonomous Data Warehouse, organizations can deploy optimized predictive models in data flows, offering advanced analytics capabilities that drive informed decision-making.

Semantic Modeler

Semantic Modeler

Figure 2: Semantic Modeler data lineage

The Semantic Modeler is a powerful browser-based tool that provides a sleek and modern interface for governed data modeling. It is fully integrated with Oracle Analytics Server and offers a seamless collaborative development experience through its tight integration with GitHub. This allows for easy sharing and collaboration on data models with other team members. Semantic Modeler generates Semantic Model Markup Language (SMML), a language used to define semantic models, which allows developers to create models using code. This versatility means that your organization can use Semantic Modeler to develop governed data models with either a graphical user interface or through direct coding whichever is most efficient for your purposes. The Semantic Modeler is an alternative to the existing Model Administration Tool, providing a new user experience for creating semantic models.

Watchlists

Watchlists

Figure 3: Watchlists on the Homepage

A watchlist enables users to quickly access visualizations that matter directly from the Oracle Analytics homepage, without having to search through multiple workbooks to locate those visualizations. Each watchlist displays visualization cards that represent key performance indicators in a workbook visualization. Opening a visualization directly from the watchlist enables users to efficiently discover data insights.

Parameter enhancements

Parameter enhancements

Figure 4: Parameter editor

Several useful features for parameters have been added to improve the functionality of workbooks. These enhancements include:

  • The ability to create parameters with ease.
  • Improved navigation within workbooks.
  • Greater control over the visualization of data.

With one click, authors can now create and bind parameters to list filters, resulting in a more efficient and streamlined workflow. Passing a selected value from a list filter to a parameter allows users to apply filters and analyze data from different perspectives quickly and easily. Furthermore, the inclusion of parameters in tile visualization's secondary measure labels contributes to a better understanding of the data being presented. Another improvement is the ability to set a default initial value of a parameter to the first possible data value, eliminating the need for manual input and potential human error.

Formatted Excel data exports

Formatted data from table and pivot table visualizations can be exported from OAS to the Microsoft Excel (XLSX) format. Filters applied to data in a workbook are also applied to data in the exported file.

Overall, Oracle Analytics Server 2024 offers organizations a wide range of new capabilities that enable them to gain insights from their data and make better decisions in a customer-managed deployment.

References:

Learn more about the all-new features in OAS 2024

Watch the following YouTube videos on Oracle Analytics Server 2024 updates:

To learn more about the Oracle Analytics and various deployment options, please visit: Oracle Analytics

To learn more about Oracle Analytics Server, please visit: Getting Starting with Oracle Analytics Server

Alan Lee

Senior Director, Product Management

Nick Engelhardt

Senior Director, Oracle Analytics


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