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Reimagining Business Intelligence: Agentic AI in IBM Cognos Analytics

By Lena Woolf posted 12 days ago

  

Discover how AI powered agents are transforming the way you explore, understand, and share insights in IBM Cognos Analytics.

GenAI is changing how businesses interact with data. IBM Cognos Analytics has always been a trusted tool for turning data into actionable insights. Now, with Agentic AI, we’re taking it to the next level.

Meet Your New Analytics Partners!
Instead of navigating complex reports alone, imagine having smart agents that work with you to simplify every step of your analytics journey:
- Recommendation Agent: Finds the right reports based on your intent. Ask, “Show information on clinical stays,” and get a report containing relevant hospital admissions analysis insights instantly.
- Summarization Agent: Explains reports in plain language and answers follow-up questions, making data exploration conversational.
- Sharing Agent: Distributes insights across channels like email and Slack, more channels coming soon.
- Report Authoring Agent (Preview): Creates new reports from natural language prompts—starting with cross-tabs and expanding to more visualizations.


Why This Matters

The  Recommendation Agent uses semantic search to provide trusted and fast self-service insight by finding reports with most relevant answers. 

Recommendation Agent leverages vector embedding technology to capture semantic meaning and context for all Cognos reports. When the user asks the question, agent uses semantic search to find most relevant reports based on the semantic meaning rather then exact keyword matches. For example, user asking  for "show leisure sport sales" will find reports with "sporting goods revenue", and explanation on why this report is relevant to the question. 

Cognos Retrieval-Augmented Generation (RAG) pipeline ensures accurate answers grounded in business reports, reusing years of investments in enterprise knowledge.
 Finding answers in existing reports drastically reduces chances of hallucinations when compared with Text2SQL based self-service insight systems.  

Recommendation Agent Architecture

Report Recommendation Agent approach to self-service insight is not only safe, its cost-effective. A thousand users looking for business answers via Text2SQL will spend a lot more on  LLM tokens than an thousand users finding  relevant answers in existing reports with Recommendation Agent.

All Cognos Analytics Agents inherit  existing Cognos security and governance controls, ensuring that insights are intelligent and trustworthy.  Agents are governed by and built upon the same Cognos core that manages your security and data models today. Only authorized users will gain access to reports and capabilities enabled via agents. 

See It in Action
Picture this: You want to understand patterns on clinical stays.

1. Recommendation Agent finds the right reports.

Recommendation Agent finds answer in existing reports
2. Summarization Agent explains the key trends.
Summarization Agent explains the report
3. Sharing Agent helps you share insights with your team.
Share this report

All in one conversation. That’s the power of Agentic AI.

These agents don’t work in isolation—they collaborate to deliver a seamless experience. From finding insights to sharing them with your team, Agentic AI makes analytics faster, smarter, and more intuitive.


Ready to Transform Your Analytics Experience?
Don’t just analyze—collaborate with AI. Explore IBM Cognos Analytics today and see how Agentic AI can help you make smarter decisions, faster.

Start your free SaaS trial now to experience Cognos Analytics Agents.
Learn more about enabling Cognos Analytics Agents on-premises.

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