The May 2026 update for Oracle Analytics Cloud (OAC) introduces enhancements that deliver more intelligent, personalized, and connected analytics experiences. New capabilities include binding AI Agent filters to workbook parameters, monitoring AI token usage, user-preferred time zone settings, customizable workbook landing pages, and embedded external content in workbooks. Together, these enhancements help organizations simplify analytics workflows, improve user experiences, and drive more value from their data.
Featured highlights:
AI and Gen AI
- Bind AI Agent filters to workbook parameters
- Monitor AI token usage
Data Visualization and Experience
- Search hierarchy members using Selection Steps
- Time-Series Calculations Wizard in Oracle Analytics
- User-preferred time zone settings
- Format visualization titles with rich text
- Create range charts
- Set workbooks as default home pages for users
- Configure default zoom levels for map layers
- Embed external content in workbooks
Modeling, Preparation, and Connectivity
- Semantic Modeler Auto-Fix
AI and Gen AI
Bind AI Agent filters to workbook parameters
Oracle Analytics enables more contextual AI experiences by allowing AI Agent filters to be dynamically bound to workbook parameters. Dashboard and workbook filters such as region, product line, or business unit are automatically applied when the AI Agent generates responses and insights. Users can also configure whether selected filter values are included or excluded for additional analytical flexibility. By keeping AI-generated insights aligned with the business context users are exploring, organizations can improve decision-making and reduce manual effort.
Monitor AI token usage
Oracle Analytics provides administrators with greater visibility into generative AI usage through AI token monitoring capabilities. Teams can track token consumption, review usage by AI feature, compare activity against monthly allocations, and configure usage alerts and overage policies directly from the Oracle Analytics console. These capabilities help organizations maintain governance over AI costs while scaling generative AI initiatives with greater predictability and control.
Data Visualization and Experience
Search hierarchy members using Selection Steps
New search capabilities for Selection Steps make it easier to work with complex hierarchies in workbooks. Users can quickly locate and filter hierarchy members such as time periods, products, regions, and other business dimensions without manually navigating hierarchical data. Advanced search options help users narrow results efficiently so they can focus on analysis instead of navigation.
Time-Series Calculations Wizard in Oracle Analytics
Creating time-series calculations is more streamlined with the new calculation experience in Oracle Analytics. Instead of writing complex SQL expressions, authors can use a guided workflow to create calculations such as month-over-month comparisons, previous-period analysis, and year-to-date metrics. Users can select measures, time intervals, and calculation types to build advanced time-based analytics more efficiently. This simplified experience enables more users to create sophisticated time-series analysis while reducing the complexity of manual calculation development.
User-preferred time zone settings
User-preferred time zone settings provide more personalized and accurate reporting experiences across Oracle Analytics. Supported date and time data is automatically adjusted across workbooks and dashboards based on each user’s profile settings. Global teams can view reports in their local time zone without manual conversions or separate regional reports, helping organizations improve collaboration and maintain a more consistent view of time-based data worldwide.
Format visualization titles with rich text
Rich text formatting for visualization titles enables authors to create more polished and contextual dashboard experiences. Workbook creators can customize titles using different font sizes, colors, multiline formatting, and dynamic parameter values to provide additional insight directly within visualizations. This helps teams highlight key metrics, reinforce trends, and personalize dashboards for different audiences while maintaining cleaner dashboard layouts.
Create range charts
Range charts expand visualization capabilities in Oracle Analytics by helping users display the spread between high and low values across dimensions such as time, location, and product. Authors can create range bar and range area charts to visualize variations such as temperature ranges, humidity levels, or performance fluctuations over time. Users can quickly assign minimum and maximum values and customize charts with additional dimensions such as region or category. These visualizations help teams identify patterns, compare variability, and better understand performance ranges within their data.
Set workbooks as default home pages for users
Organizations can streamline access to analytics content by setting dashboards or workbooks as default landing pages in Oracle Analytics. Administrators can configure landing pages for specific users or roles, directing teams to the most relevant insights immediately after sign-in. Landing pages can include interactive filters, visualizations, navigation links, and curated content tailored to different business functions. This app-like experience helps improve engagement, simplify navigation, and accelerate access to insights across the organization.
Configure default zoom levels for map layers
Configurable default zoom levels improve map-based analysis by automatically displaying geographic layers based on zoom level. Authors can control when layers such as continents, countries, states, cities, or custom geometry appear as users navigate maps in Oracle Analytics. This creates a cleaner and more focused mapping environment that helps teams analyze regional trends, operational data, and location-based insights more efficiently.
Embed external content in workbooks
External content can now be embedded directly into Oracle Analytics workbooks to create more connected analytics experiences. Authors can add websites, videos, documents, maps, applications, and interactive content such as Oracle APEX applications alongside analytics visualizations within a single canvas. Consolidating these resources helps reduce context switching and gives teams faster access to supporting tools and information. By combining analytics with related applications and content, organizations can streamline workflows, improve productivity, and deliver more engaging data-driven experiences.
Modeling, Preparation, and Connectivity
Semantic Modeler Auto-Fix
The Auto-Fix capability helps simplify semantic model maintenance by automatically resolving supported modeling errors identified during consistency checks. Users can correct naming inconsistencies, formatting problems, and model hierarchy errors directly from the consistency check results instead of updating issues manually one at a time. This automation reduces troubleshooting effort and helps analytics teams maintain trusted semantic models more efficiently.
Call to Action
Explore the May 2026 Oracle Analytics update, which continues to expand how organizations deliver and scale modern analytics experiences. New capabilities across AI, data visualization, personalization, and semantic modeling help teams work more efficiently while reducing complexity across analytics workflows. These enhancements improve how organizations manage analytics, deliver insights, and support users across increasingly data-driven environments.