Self-serve analytics for non-technical teams

Problem

Non-technical teams wait days for ad-hoc data requests. Data analysts spend 60% of their time answering easy questions.

Solution

Connect your data warehouse. Anyone on the team asks questions in plain English via chat or Slack. The AI writes SQL, runs the query, and returns a visualization.

Benefits

• Instant answers without SQL knowledge
• Data team freed for strategic analysis
• Fewer 'quick question' interruptions
• Consistent metric definitions across the org

How to get started

1. 1

   Connect your warehouse

   Connect Snowflake, BigQuery, or Postgres with read-only credentials.

2. 2

   Define your metrics

   Map business metrics (ARR, churn, CAC) to SQL definitions so the AI calculates consistently.

3. 3

   Deploy to the team

   Roll out via Slack integration or web chat. Users ask questions; the AI responds with charts and the SQL it wrote.

Recommended tools

Julius AI, Seek AI, Tableau Pulse. See the full list on the AI Data Analyst Agent pillar page.