GenBI — generative business intelligence: ask the question, get the right answer.
Query your data in natural language and get reliable analysis and visualisations — backed by a governed semantic layer. No hallucination on the figures: traceable answers, from data to business.
The problem
The business waits, the data stays locked away
Between a business question and a quantified answer, there are often days of waiting: a ticket to the data team, a dashboard to build, an indicator defined differently across departments. Meanwhile, decisions are made on gut feeling. And when a chatbot “plugged into the database” finally answers, it sometimes invents the figures — hallucination on financial or operational data is unacceptable.
GenBI isn’t about slapping an LLM onto a database. It rests on a governed semantic layer: metrics defined once, shared by everyone, and answers whose origin can be traced back.
Our approach in 4 steps
Mapped data
We start from data that is already mapped and governed — an essential prerequisite. See our data mapping offer if that foundation isn’t yet in place.
Semantic layer
Definition of metrics, dimensions and business rules: a single source of truth that natural language will query, with no ambiguity or duplicates.
Conversational interface
The business asks its questions in natural language; the system translates them into controlled queries against the warehouse, without inventing any figures.
Reliability & governance
Every answer is traceable back to its source, access is controlled by profile, and self-service stays within the guardrails.
Deliverables
What you deploy
- A governed semantic layer: metrics and dimensions defined once and for all
- A governed conversational interface, integrated with your warehouse / data platform
- Reliable visualisations, traceable back to the source of the figures
- Access control by profile and by data scope
- Self-service for business teams, without relying on the data team for every question
Industrialising AI, backed by the data & compliance DNA of Datanaos
Frequently asked questions
How do you avoid hallucinations on the figures?
The LLM never calculates the values itself: it translates the question into controlled queries against the semantic layer, which in turn queries the warehouse. The figures come from your data, not from the model, and every answer is traceable back to its source.
Does our data need to be mapped beforehand?
Yes, that’s the foundation. GenBI rests on mapped and governed data. If that work hasn’t been done, we carry it out first through our data mapping offer, then we build the semantic layer.
How do you handle access security?
Access control is applied by profile and by scope: each person queries only the data they are entitled to. Existing governance rules are respected, with no way to bypass them through natural language.
Does it integrate with our existing data warehouse?
Yes. GenBI connects to your warehouse or data platform (warehouse, lakehouse) rather than duplicating the data. The semantic layer aligns with your existing model.
Move from experimentation to AI in production
Start with a short, fixed-price assessment: maturity, high-ROI use cases, and a prioritised roadmap. No commitment.