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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.”
Implementing comprehensive client-side Excel validation in Aura components requires extensive JavaScript validation logic, error handling, and complex data type checking before Apex processing.
Here’s how to achieve superior validation capabilities with real-time feedback and comprehensive error reporting without custom JavaScript validation code.
Implement comprehensive pre-processing validation with real-time feedback using Coefficient
Coefficient provides advanced validation framework through preview and validation systems. Execute complete data validation before any Salesforce processing with multi-level validation capabilities and immediate feedback.
How to make it work
Step 1. Import Excel for automatic format detection.
Upload your Excel file to Google Sheets where Coefficient automatically detects data types and formats. This eliminates the need for custom JavaScript parsing and format validation in your Aura component.
Step 2. Configure comprehensive validation rules.
Set up validation for data types (text, number, date, boolean), required fields, format validation (email, phone, dates), range validation (numeric and date ranges), picklist values, and relationship field references.
Step 3. Run pre-export preview validation.
Execute preview mode to run complete validation suite before any Salesforce processing. This validates all data against Salesforce field requirements and constraints without consuming API limits.
Step 4. Review validation results with visual feedback.
Coefficient provides color-coded error highlighting with specific cell-level feedback. Review validation results with detailed error explanations that show exactly which cells contain invalid data and why.
Step 5. Implement custom formula validation.
Create complex validation rules using spreadsheet formulas for business logic validation. For example, use =AND(B2<>“”, C2>0, D2<=TODAY()) to validate multiple conditions simultaneously.
Step 6. Configure cross-record validation.
Validate data consistency across multiple records using spreadsheet functions. Check for duplicate values, validate totals, or ensure related records meet specific criteria before export.
Step 7. Set up interactive error resolution.
Fix validation errors directly in the Google Sheets interface with immediate feedback. The system re-validates data in real-time as corrections are made, showing validation status updates instantly.
Step 8. Save validation templates.
Save validation configurations for recurring file uploads. This ensures consistent validation rules across multiple Excel files and eliminates the need to reconfigure validation logic.
Eliminate custom validation complexity
This approach provides comprehensive rule coverage, visual error reporting, and interactive error resolution without JavaScript validation code or browser performance issues. Implement superior validation today.
