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Pearl Data Assistant
Troubleshooting Guide
Common issues and solutions to help you resolve problems with Pearl Data Assistant.

Data Preparation Tips
Best practices for preparing your data for analysis.

Clean Your Data

Ensure your data is clean and consistent before uploading. Remove any irrelevant information, fix inconsistencies in naming conventions, and check for missing values.

Use the Templates

Download and use our provided templates to ensure your data is formatted correctly. The templates include sample data and all required columns with the correct naming.

Avoid Personally Identifiable Information

For privacy and security reasons, avoid including personally identifiable information (PII) in your data files. Use anonymous identifiers instead of names or other personal details.

Check Date Formats

Ensure all dates are in the YYYY-MM-DD format for consistency. If you're using Excel, you may need to format the date columns before exporting to CSV.

Validate Numerical Data

Make sure all numerical data is valid and within expected ranges. Outliers or incorrect values can significantly impact your analysis results.