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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.”
Building a Salesforce data quality monitoring system doesn’t require specialized tools. You can create a powerful monitoring system using custom SOQL queries combined with native spreadsheet functions and automated scheduling.
This approach provides continuous monitoring that runs quality checks automatically while using familiar query and analysis functions.
Create automated quality monitoring using Coefficient
Coefficient creates a powerful data quality monitoring system by combining custom SOQL query capabilities with native spreadsheet functions and automated scheduling. Unlike manual monitoring, this creates a continuous system that runs quality checks automatically.
How to make it work
Step 1. Build custom quality queries.
Use Coefficient’s custom SOQL query feature to build targeted data quality queries. Create queries like “SELECT Id, Name, Email FROM Contact WHERE Email = null OR Email NOT LIKE ‘%@%.%'” for email validation, “SELECT Id, Amount FROM Opportunity WHERE Amount < 0 OR CloseDate < TODAY()" for business rule validation, and "SELECT Id, COUNT(Name) FROM Account GROUP BY Name HAVING COUNT(Name) > 1″ for duplicate detection.
Step 2. Integrate with native spreadsheet functions.
Use the QUERY function with =QUERY(imported_data,”SELECT field WHERE condition”) for additional filtering. Apply the FILTER function using =FILTER(range,condition_range<>“”) for dynamic exception identification. Add COUNTIFS and SUMIFS for complex conditional counting and aggregation across quality metrics.
Step 3. Set up automated monitoring schedules.
Configure hourly or daily refreshes to continuously monitor data quality. Use Coefficient’s alert system to notify stakeholders when quality thresholds are breached, creating proactive quality management.
Step 4. Create dedicated exception tracking.
Set up dedicated sheets for different quality check types like completeness, accuracy, and consistency that automatically populate with current exceptions. This organizes quality monitoring by category for easier management.
Deploy continuous quality monitoring
Automated quality monitoring eliminates manual query execution while providing continuous oversight that runs quality checks automatically and alerts stakeholders to issues immediately. Build your monitoring system today.
