Dashboards answer anticipated questions
When a new question appears, users return to limited filters or join the data team's request queue.
Governed conversational BI
Ask your data. Decide with context.
Rumbleo turns your company's data model into a useful business conversation. Teams ask questions in natural language and receive analysis grounded in shared definitions, real permissions, and read-only queries.
One shared semantic layer for metrics and dimensions
Configurable agents for each business function
Access control, limits, and usage traceability
What conversational BI means
Conversational BI is a way to analyze company data through natural-language questions and answers. Unlike a general-purpose chat, a governed solution interprets each question through the metrics, dimensions, permissions, and rules already defined by the organization.
Conversation does not remove the data team's work. It makes that work reusable: definitions stay in the semantic model while people explore causes, segments, and periods without requesting a new dashboard for every question.
Beyond a dashboard and safer than a general-purpose chat
A fast answer only helps when the team can understand its foundation and trust that it respects company context.
A general chat does not know your definitions
Without a business layer, terms such as active customer, margin, or churn may be interpreted differently in every answer.
Direct access creates unnecessary risk
Rumbleo keeps identity, permissions, and execution under control with read-only analytical access.
From question to a defensible readout
Every step preserves business language without giving up control of the data.
- 1
Question
The user asks as they would ask an analyst.
- 2
Context
The agent applies the relevant domain, conversation, and definitions.
- 3
Analysis
The platform validates and runs read-only queries over the authorized connection.
- 4
Decision
The answer combines figures, comparisons, and next steps when the data supports them.
The same data, different questions for every team
Agents can adapt to each function's analytical criteria without creating incompatible versions of the metrics.
Finance
“What explains the margin variance against plan?”
Compare periods, business units, and components before the close.
Operations
“Where are cycle time, incidents, or cost per order increasing?”
Narrow the problem by site, supplier, category, or shift.
Growth and product
“Which segment explains the change in conversion or retention?”
Explore cohorts, channels, and behavior without rebuilding the report.
Leadership
“What changed and what needs attention this week?”
Summarize material signals and investigate them in the same conversation.
Choose the approach that fits the question
Rumbleo complements existing BI assets when teams need to explore, interpret, and decide through conversation.
| Criterion | Dashboard | General AI chat | Rumbleo |
|---|---|---|---|
| Interaction | Predefined views and filters | Open conversation | Analytical conversation |
| Definitions | Embedded in each report | Dependent on the prompt | Shared semantic model |
| Data access | Defined by the BI tool | Risky when connected without governance | Read-only, permissions, and limits |
| Specialization | Per dashboard | Loose instructions | Configurable agents by function |
Check the fit before the demo
AI data analyst
Natural-language analysis grounded in shared definitions
Chat with business data
Conversation without direct assistant access to the database
Governed analytics
Identity, permissions, semantics, limits, and traceability
Tools and alternatives
A sourced framework for comparing approaches and providers
Finance
Margin, budget, profitability, and variances
Operations
Service, capacity, incidents, and cost
Sales and growth
Pipeline, conversion, channels, and retention
Product
Activation, funnels, adoption, and cohorts
Use cases
Real questions by industry and function
How it works
Semantics, permissions, read-only access, and traceability
Rumbleo MCP
Governed analytics from compatible assistants
Pricing
Plans and approach comparison
Trust
Security, privacy, and documentation
Conversational BI frequently asked questions
How is conversational BI different from a chatbot connected to a database?
Governed conversational BI does not hand database control to the chatbot. It interprets questions through a semantic model, applies identity and permissions, validates the query, and limits execution to read-only access before returning results.
Does Rumbleo replace Power BI, Tableau, or other dashboards?
Not necessarily. Rumbleo can complement existing reporting when teams need to ask new questions, investigate causes, or work through a conversational experience.
Do users need to know SQL?
No. People ask in natural language and Rumbleo keeps the technical query out of the end-user experience. Authorized teams retain control of the semantic model and connections.
Can every function have its own agent?
Yes. Agents belong to the company and can be configured with analytical instructions for each function while preserving common data governance, permissions, and usage controls.
How is analytical data protected?
The analytical connection operates in read-only mode. The platform resolves identity and company from the session, applies policies and limits, and preserves execution and usage traceability.
A demo grounded in your context
Start with a decision that takes too long today
Tell us the question, who needs the answer, and where the data lives. We will prepare a session around that journey, without generic promises.
Your data stays under your organization's control