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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.”
Your business users need database access but can’t write SQL queries. They’re constantly asking your data team for filtered reports, creating bottlenecks and delays for everyone involved.
Here’s how to give them self-service database filtering through familiar spreadsheet cells, eliminating SQL requirements while maintaining data security.
Create self-service database filtering using Coefficient
Coefficient ‘s SQL Params feature bridges the gap between your database and spreadsheet users. A technical team member sets up parameterized queries once, then business users control the data through simple cell changes.
The process works like this: SQL parameters connect to specific spreadsheet cells, so when users change cell values, the database query automatically updates with new filters. No SQL knowledge required.
How to make it work
Step 1. Set up the parameterized SQL query.
Your SQL expert creates a query in Coefficient’s SQL builder with parameter placeholders like {{date_range}} or {{region_filter}}. These placeholders will pull values directly from spreadsheet cells when the query runs.
Step 2. Link parameters to spreadsheet cells.
Connect each SQL parameter to a specific cell in your Google Sheets or Excel file. For example, link {{region_filter}} to cell A1 and {{date_range}} to cell B1. Label these cells clearly so users know what they control.
Step 3. Create user-friendly filter controls.
Set up dropdown lists, date pickers, or simple text input cells where users can enter their filter criteria. When they change these values, Coefficient automatically refreshes the data with the new filters applied.
Step 4. Test the dynamic filtering.
Have a business user try changing filter values in the designated cells. The database query should re-run automatically, showing only data that matches their criteria. Users can combine multiple filters for complex data subsets.
Transform static reports into dynamic self-service tools
This approach eliminates 90% of routine data requests while giving business users instant access to filtered database information. Start building your self-service database filtering system today.
