The analytics revolution isn’t about more dashboards. It’s about conversations that drive decisions.
Oracle Analytics Cloud empowers organizations with modern, AI-powered analytics — delivering dynamic visualizations, interactive dashboards, and real-time insights at enterprise scale.
Building on this foundation, Oracle Analytics Cloud introduces the Agentic User Experience, redefining analytics as a conversational, intelligent, and always-available decision platform.
For years, business intelligence followed a familiar routine: dashboards were built, reports were published, and insights depended on someone finding and interpreting them correctly. Analysts often became intermediaries — translating data into explanations rather than driving outcomes.
That approach no longer keeps pace with how decisions are made today.
The agentic user experience in Oracle Analytics Cloud represents a fundamental shift in how organizations engage with data. Analytics moves from passive consumption to active collaboration, from static dashboards to dynamic conversations, and from isolated tools to a unified AI ecosystem.
This isn’t incremental change.
It’s analytics rebuilt around human intent — designed to understand questions, retain context, and deliver insight whenever and wherever decisions happen.
Explore the Oracle Analytics Cloud AI ecosystem
This diagram illustrates how Oracle Analytics Cloud brings together multiple AI-driven capabilities into a single, unified analytics ecosystem.
At the center is Oracle Analytics Cloud, acting as the intelligence core. Surrounding it are tightly integrated capabilities that work together — rather than as standalone features — to deliver an end-to-end agentic analytics experience.
The Ecosystem at a Glance
- Homepage AI Assistant
The starting point for analytics — users begin with natural language questions, not dashboards. - Workbook AI Assistant
An in-app co-pilot that helps authors build, refine, and evolve analysis through conversation. - AI Agents
Domain-aware agents that combine enterprise data with business knowledge to explain not just what happened, but why. - AI Assistant on Mobile
The same conversational experience, optimized for on-the-go decisions with voice and podcast-style insights. - Embedding AI Assistant
Brings analytics directly into business applications and workflows, eliminating context switching. - Oracle Analytics Cloud MCP Server
Securely connects Oracle Analytics Cloud to external AI clients and automation tools using governed, standardized access. - Feedback and Improvement
Built-in mechanisms that allow AI responses to continuously improve — responsibly and transparently.
Together, these components form the Oracle Analytics Cloud AI Ecosystem — where analytics is no longer a destination you visit, but an intelligent capability embedded wherever decisions are made.
Start with a Conversation: Homepage AI Assistant
The Homepage AI Assistant is now the front door to analytics.
Users no longer start with dashboards or data models — they start with intent.
You can generate a dashboard from simple prompt, for example “Give me comprehensive location-based performance dashboard from Sample Sales Dataset”
What it delivers
- Instant workbook creation
Generate complete dashboards from prompts such as, “Build an executive profitability dashboard”
— including visualizations and insight summaries. - Context-aware dialogue
Follow-up questions automatically retain intent and context, enabling natural exploration without starting over. - Smart search
Combines catalog discovery with semantic understanding, using public knowledge to interpret vague or ambiguous terms.
▶️ Watch it in action:
Oracle Analytics’ Homepage AI Assistant
Build faster with a co-pilot: Workbook AI Assistant
Once you’re in a workbook, AI doesn’t disappear — it becomes your in-application intelligent partner.
The Workbook AI Assistant lives directly inside the authoring experience, helping users move from ideas to insights without technical friction.
What it delivers
- Embedded intelligence
Create and modify visualizations using conversational commands, eliminating the learning curve of traditional BI tools. - Iterative design
Generate charts from prompts, refine them through follow-up questions, and evolve analysis naturally as questions change. - Seamless saving
Save results directly to workbooks or watchlists for continuous analysis and reuse.
Analytics becomes iterative, intuitive, and fast.
▶️ See the Workbook Assistant:
How to Use the AI Assistant in Oracle Analytics Cloud
Oracle Analytics AI Assistant: Getting started in 3 steps!
Unlock the Full Power of Oracle Analytics AI Assistant
Enabling Oracle Analytics AI Assistant for Consumers in Workbooks
Go beyond metrics: AI agents with context
AI Assistants answer questions — AI Agents explain the “why.”
Oracle Analytics AI Agents combine enterprise data with organizational knowledge using Retrieval-Augmented Generation (RAG).
What it delivers
- Custom knowledge integration
Blend structured datasets with uploaded documents such as PDFs, reports, and policies. - Tailored behavior
Administrators define instructions, so agents respond in line with organizational standards and business context. - Context-aware insights
Explain trends alongside policies, assumptions, and business rationale — not just numbers.
This is analytics evolving into institutional intelligence.
▶️ Explore AI Agents:
Oracle Analytics AI Agents
Analytics Anywhere: AI Assistant in Mobile
Decisions don’t wait for desktops — and neither should analytics.
The AI Assistant in Mobile extends the same conversational experience to mobile devices.
What it delivers
- Multimodal interaction
Ask questions using text or voice, with automatic transcription. - Podcast mode
Generate narrated summaries of insights for hands-free, on-the-go consumption. - Actionable insights
Expand visuals, share them instantly, or add them to watchlists for quick access later.
Analytics becomes ambient and always available.
▶️ See mobile analytics in action:
AI Assistant on Mobile in Oracle Analytics
Bring Analytics into the Workflow: Embedded AI Assistant
Why force users to leave their applications to get insights?
With the Embeddable AI Assistant, analytics comes directly into business workflows.
What it delivers
- Seamless integration
Embed the full AI Assistant experience into custom apps or HTML pages using the<oa-assistant>tag. - In-context analytics
Users ask questions like, “What is the history of sales in Austin?” directly inside operational tools.
No context switching — no separate BI destination.
▶️ Watch embedding in action:
Embedding the Oracle Analytics AI Assistant
Open Connectivity, Enterprise Control: OAC MCP Server
The Oracle Analytics Cloud Model Context Protocol (MCP) Server connects Oracle Analytics to the broader AI ecosystem — safely.
External AI clients can interact with analytics through standardized operations.
What it delivers
- Discover
List all datasets accessible to the authenticated user. - Describe
Retrieve detailed metadata and structural information. - Execute
Run governed Logical SQL queries generated by external LLMs.
This enables open AI integration without compromising security.
▶️ Deep dive & demos:
📘 Oracle Analytics Cloud MCP Server — Bridging Enterprise Analytics and AI
▶️ Enabling Agent Workflows with the Oracle Analytics Cloud MCP Server
Continuous Learning: AI Assistant Feedback
Enterprise AI must improve responsibly.
Oracle Analytics includes built-in feedback mechanisms to refine responses over time.
What it delivers
- User-driven feedback on AI responses
- Continuous relevance improvement
- Transparent and governed AI evolution
▶️ See feedback in action:
AI Assistant Feedback in Oracle Analytics
Security Is Not Optional — It’s Built In
Across every interaction mode — UI, mobile, embedded, agents, MCP — Oracle Analytics enforces:
- Role-based access control
- Row-level security
- Governed external access
AI doesn’t bypass governance — it operates within it.
Conclusion: Explore the Oracle Analytics Cloud AI Ecosystem
The Agentic User Experience in Oracle Analytics Cloud represents more than a new set of AI features — it marks a fundamental shift in how enterprises interact with data.
Analytics is no longer something users navigate.
It’s something they talk to.
By unifying conversational AI assistants, context-aware AI agents, mobile and embedded experiences, open AI connectivity through MCP, and enterprise-grade governance, Oracle Analytics Cloud delivers a complete AI analytics ecosystem — not isolated capabilities.
This ecosystem enables organizations to:
- Start with intent, not dashboards!
- Move from metrics to meaning!
- Deliver insights wherever work happens!
- Open analytics to AI innovation without compromising trust.
The future of analytics isn’t about building more dashboards.
It’s about enabling better decisions, faster, with confidence.
👉 Explore the Oracle Analytics Cloud AI Ecosystem — and experience how Oracle Analytics Cloud is redefining enterprise analytics for the agentic era. 🚀
📚 Learn More
To explore more about Oracle Analytics Cloud:
🌐 Visit oracle.com/analytics
🐦 Follow @OracleAnalytics on Twitter
📚 Read the documentation on Oracle Help Center
🌐Join the Community
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