Ask your data in plain English
Business teams shouldn't need a SQL ticket to get an answer. Golden Analytics translates natural language questions into warehouse queries and returns attribution-aware results, no analyst required.
Business questions don't fit SQL ticket queues
Data requests travel through a translation layer: stakeholder question to analyst ticket to SQL query to dashboard filter. Every step adds latency and loses context.
Days of latency per question
A business stakeholder with a metric question submits a ticket and waits. By the time the answer comes back, the decision window has passed and the context has shifted.
Translation errors accumulate
What the stakeholder asked and what the analyst coded are often subtly different. Metric definitions, filter logic, and date ranges get interpreted rather than specified.
Analyst time on low-value queries
Repeat questions consume senior analyst time on work that has no strategic value. The same segment filter applied to the same metric shouldn't require a human every time.
From question to warehouse query in one step
Type your question
Any team member types a metric question in plain English. The system understands business terminology mapped to your specific metric definitions and schema.
Query generates and executes
Golden Analytics translates the question into SQL, validates it against your semantic layer, executes it against your warehouse, and applies the attribution model to the result set.
Plain-language answer with drivers
The result comes back as a written explanation with a segment-level breakdown, not a raw table. Follow-up questions refine the analysis in the same conversational thread.
What NL Querying gives your organization
Semantic layer integration
NL queries map to your dbt metrics or custom semantic definitions. The system uses your canonical metric logic, not a guess at your schema.
Conversational follow-ups
Ask "what about enterprise accounts only?" and the system carries context from the previous answer. Each follow-up refines the same attribution analysis.
Row-level security respected
Queries execute under the same service account permissions as your other warehouse reads. Users can only see the data their warehouse policies permit.
Generated SQL visible
Analysts can inspect the exact SQL generated for every question. No black-box answers. Verify the translation against your own expectations and flag discrepancies.
Shareable query links
Share a permalink to any question-and-answer pair with your team. The link re-runs live against current data, not a cached snapshot.
Slack and API delivery
Receive answers in Slack channels or pull them programmatically via API. Embed NL query results in the tools your teams already use for decisions.
NL Querying works best alongside
Metric Attribution
When your NL query returns a metric movement, attribution automatically identifies which segments drove it.
Learn moreStakeholder Reporting
Convert NL query results into formatted reports for executives and department leads without manual write-up.
Learn moreLet your team ask questions directly
Connect your warehouse with a read-only service account. Business teams get answers in minutes. Analysts get their time back.