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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Rev Ops teams need complex Snowflake queries for pipeline analysis, conversion tracking, and revenue reporting. But writing multi-table joins and aggregations takes SQL expertise most business users don’t have.
Here’s how AI can transform your plain English requests into sophisticated SQL queries instantly, eliminating the technical barrier between you and your data insights.
Generate complex Snowflake queries using natural language with Coefficient
Coefficient’s AI SQL Builder understands business context and automatically creates multi-table joins, aggregations, and filters based on your plain English descriptions. Instead of waiting for data team availability or struggling with SQL syntax, you can generate sophisticated queries in seconds.
The AI handles complex operations including multi-table joins across your Snowflake schema, aggregations like SUM and COUNT, date range filtering, conditional logic with CASE statements, and subqueries when needed. For Rev Ops reporting, this means instant access to pipeline analysis, conversion rates, and revenue metrics without any SQL knowledge.
How to make it work
Step 1. Connect Coefficient to your Snowflake instance.
Set up the direct connection through Coefficient’s sidebar. This ensures data accuracy and security while providing live data access in your spreadsheets.
Step 2. Describe what you want in plain English.
Type requests like “Show me top 10 countries by sales with order totals over $10,000 in the last quarter” or “Compare this year’s pipeline to last year’s by stage and region with close dates.” The AI interprets your request and determines which tables to join, appropriate join keys, required aggregations, and grouping logic.
Step 3. Review and execute the generated SQL.
The AI automatically creates the appropriate SQL query with proper JOINs, WHERE clauses, GROUP BY statements, and ORDER BY logic. You can review the query before execution or run it directly to import the results into your spreadsheet.
Step 4. Iterate and refine your analysis.
The system learns from your usage patterns and understands your business context, making subsequent queries more accurate. You can quickly modify requests and generate new variations for deeper analysis.
Transform your Rev Ops reporting workflow
AI-powered SQL generation eliminates the bottleneck between business questions and data answers. You can now generate complex sales performance analyses, territory breakdowns, and forecast reports in seconds rather than waiting for technical resources.
Ready to turn your plain English questions into powerful Snowflake insights? Get started with Coefficient’s AI SQL Builder today.
