Benefits
If you have ever heard a colleague say they know the data exists somewhere but cannot find it, this agent exists to solve that exact problem. It turns natural language questions into direct paths to the right cards, pages, and datasets.
- Find content without knowing where it lives: Users describe what they are looking for in their own words, and the agent locates the relevant cards, pages, and datasets across the entire environment. No more navigating folder hierarchies or remembering which page a specific chart was placed on
- Visual context in every response: The agent does not just return a list of links. It provides visual snapshots of matching cards and pages so users can verify they have found the right content before navigating to it, saving the back-and-forth of clicking through results
- Follow-up exploration: After finding initial results, users can ask follow-up questions to refine their search, explore related content, or drill deeper into a specific area. The conversational interface maintains context across the entire interaction
- Security-first architecture: Every result is filtered through the user's permission level, including data policy restrictions. Users only see content they are authorized to access, making the agent safe to deploy broadly without risk of exposing restricted data
- Reduced onboarding friction: New team members can explore the analytics environment through natural conversation rather than needing someone to walk them through the folder structure. The agent serves as a knowledgeable guide that knows where everything lives
- Increased content utilization: Cards, dashboards, and datasets that were previously undiscoverable because they were buried deep in folder hierarchies become accessible to the broader organization, increasing the return on analytics investment
Problem Addressed
As analytics environments grow to include hundreds or thousands of cards, pages, and datasets, content discoverability becomes a serious operational challenge. Users know that dashboards and reports exist for their questions, but finding the right content requires either institutional knowledge of where things are organized or time-consuming manual browsing through nested page hierarchies. The search tools available in most analytics platforms rely on exact keyword matching against titles and descriptions, which fails when users do not know the precise terminology used to name the content they need.
The practical consequence is significant underutilization of analytics investment. Organizations build sophisticated dashboards and reports, but adoption plateaus because users outside the core analytics team cannot find what they need. Help desk tickets asking where do I find X data become a constant drain on data team bandwidth. New hires take weeks to learn the content landscape. And duplicate content proliferates because it is often easier to build a new report than to locate an existing one that already answers the question.
What the Agent Does
The agent provides a conversational interface for exploring analytics content, handling the full discovery workflow from initial query through detailed exploration:
- Natural language query processing: The agent interprets user questions expressed in business language rather than requiring technical search syntax. A question like what do our customer retention numbers look like is understood and matched against relevant content even if no card is titled customer retention
- Content matching and ranking: The agent searches across cards, pages, and datasets, ranking results by relevance to the query using semantic understanding rather than simple keyword matching. This includes matching against card titles, descriptions, underlying data sources, and the business context of visualizations
- Visual snapshot generation: For matching cards and pages, the agent generates visual previews that show the actual content, allowing users to visually confirm they have found the right asset before navigating to the full view
- Permission-aware filtering: All search results are filtered through the querying user's data policies and access permissions. Content that the user is not authorized to view is excluded from results entirely, maintaining data governance without requiring any special configuration
- Conversational follow-up: Users can refine their search through follow-up questions, ask for related content, request different time periods or segments, or explore adjacent topics. The agent maintains full conversation context to understand references to previously discussed content
- Navigation assistance: Beyond finding content, the agent provides direct links to the discovered cards and pages, enabling one-click navigation from the search result to the full interactive content
Standout Features
- Semantic search beyond keywords: The agent understands business intent, not just keywords. Searching for how are we doing on renewals will find a card titled subscription renewal rate even though the search terms do not match the title, because the agent understands the semantic relationship
- Cross-content-type discovery: A single query can return cards, pages, and datasets in the same result set, ranked by relevance regardless of content type. Users do not need to search cards and pages separately
- Permission model integration: The agent respects the full permission model including row-level data policies, page-level access controls, and dataset-level sharing rules, making it safe to deploy to every user in the organization without governance risk
- Context-aware suggestions: When initial results do not fully answer the user's question, the agent proactively suggests related content areas or alternative queries that might better match what they are looking for
- Usage-weighted results: The agent factors in content popularity and recency, surfacing actively maintained and frequently accessed content higher in results than abandoned or outdated assets
Who This Agent Is For
This agent is designed for any organization where the analytics environment has grown large enough that finding the right content has become a barrier to adoption and utilization.
- Business users who need answers from data but do not know which dashboard or card contains the information they need and lack the time to browse through page hierarchies
- Analysts who maintain large content libraries and frequently receive where do I find this questions from stakeholders, wanting to deflect routine discovery requests to a self-service tool
- Executives who want quick access to key metrics and reports without memorizing navigation paths or bookmarking dozens of individual pages
- New employees going through onboarding who need to familiarize themselves with the analytics environment quickly without requiring extensive one-on-one guidance
- Data governance teams who want to ensure that content discovery respects permission boundaries while still making authorized content maximally accessible
Ideal for: Any organization with more than 100 cards and pages in their analytics environment, particularly those with diverse user populations spanning multiple departments, roles, and technical skill levels.
