Every question goes through the analyst. The analyst is always behind.
In most organizations, business users can't answer their own data questions. They submit a request to the data team, wait 2–5 days, get a report back that slightly misses the question, and iterate. Analysts spend 60% of their time on recurring requests rather than strategic work. The organization is bottlenecked on data expertise.
A governed semantic layer that business users can explore safely.
IntelliFabric's self-service capability is built on a governed foundation — KPIs are pre-defined, relationships are pre-built, business logic is encoded once. Business users can slice, filter, drill, and ask questions in natural language without being able to break the underlying definitions or see data they shouldn't.
From connection to insight in four steps.
Governed semantic model as the foundation
All self-service exploration is anchored to the semantic model where business logic is already encoded. Users can filter, drill, and pivot — but they can't change the definition of revenue or OEE. Governance is structural, not policy-enforced.
Role-based access determines what each user sees
Row-level security in the semantic model ensures each user can only see the data relevant to their role. A line supervisor sees their line. A regional manager sees their region. Self-service doesn't mean unrestricted access.
Natural language Q&A
Power BI's Q&A feature, enhanced by IntelliFabric's synonym configuration, lets users type questions in plain English: "Show me OEE for Line B in the last 30 days" or "Which SKUs have the highest return rate this month?" The semantic model translates these into correct queries.
Publish and share without IT involvement
Business users can save custom views and share them with colleagues within their permission scope — without IT involvement. New views inherit all security and governance from the semantic model automatically.