What's new in the Oracle Analytics Cloud May 2024 update

May 8, 2024 | 3 minute read
Barry Mostert
Senior Director, Artificial Intelligence and Analytics
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Oracle Analytics Cloud (OAC) is back with its latest update for May 2024, bringing exciting new features across data exploration, dashboarding, storytelling, data connectivity, augmented analytics, machine learning, and administrative capabilities. Read on for key highlights and explore how these updates can empower you to derive deeper insights and drive informed decision-making.

Exploring, Dashboarding, and Storytelling

One of the standout features of the May 2024 update is the ability to bind an Oracle Analytics parameter to exclude filter values. This allows users to streamline the filter's list of available data values, making data exploration simpler, more efficient, and focused.

In addition, users can now export content to Excel directly from embedded visualizations, facilitating seamless data sharing and analysis across different platforms. The addition of a responsive canvas design editor (Figure 1) further enhances the user experience by providing visualizations optimized for multiple layouts. Dashboards will automatically adjust layout based on the resolution used by the device viewing them.

Responsive canvas design editor provides visualizations optimized for multiple layouts
Figure 1: Responsive canvas design editor provides visualizations optimized for multiple layouts

Another enhancement, the introduction of the Inline List Dashboard Filter Type, offers greater flexibility in data selection, allowing users to choose between single or multiple data values with ease.

Data Connectivity, Modeling, and Preparation

With the May 2024 update, users can now apply filters on file-based datasets, enabling more granular control over what data to focus on for analysis and data visualization. Additionally, advanced Treat-As detection capabilities empower users to enrich data quickly and effectively by identifying opportunities for enhancements in Treat-As settings. Treat-As detects commonly used fields that may have a numeric value, but are actually attributes.  For example, an "ID" column in the dataset that contains numeric IDs, should appear in your analytics projects as an attribute.

The ability to create datasets from files stored in Oracle Cloud Storage opens new possibilities for data integration and analysis, enabling users to leverage multi-table datasets for comprehensive insights.

Augmented Analytics and Machine Learning

The inclusion of face detection using OCI Vision capabilities continues to bring even more advanced machine learning capabilities to OAC, allowing users to identify human faces and their landmark locations within images with confidence scores (Figure 2). This can have wide-ranging applications across industries, from security to customer engagement. For instance, a retail company can use image analytics to analyze store images, gaining insights into the flow of foot traffic at various times. This enables the company to optimize store layouts, product placement, and staffing schedules to enhance the overall customer experience and increase sales.

An OAC dashboard using OCI Vision to detect faces in an image
Figure 2: An OAC dashboard using OCI Vision to detect faces in an image 


Furthermore, the OCI Personally Identifiable Information (PII) Type Selector provides enhanced control over obfuscating sensitive content when deploying AI Language PII identification models, ensuring compliance with data privacy regulations.

Performance, Compliance, and Administration

The May 2024 update also introduces finer-grained access control, allowing administrators to grant users access to individual pages in the Console. This level of granularity enhances security and governance by enabling administrators to tailor permissions according to specific roles and responsibilities.

The preview of the Workbook Email Scheduler feature empowers administrators to share up-to-date visualizations from workbook canvases with intended recipients through scheduled emails in PDF or PNG format, facilitating seamless collaboration and communication.

In conclusion, the Oracle Analytics Cloud May 2024 update introduces a host of innovative features and enhancements designed to empower organizations with advanced analytics capabilities, streamlined workflows, and enhanced data governance. With these new tools at their disposal, users can unlock the full potential of their data and drive smarter, data-driven decision-making at every level of the enterprise.

Discover more on this May 2024 update:

Barry Mostert

Senior Director, Artificial Intelligence and Analytics

Barry is a senior director for product marketing covering Oracle's AI and Analytics services.

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