Detect Spreadsheet Errors Automatically

Spreadsheet errors are more common — and more costly — than most businesses realise. A 2020 study found that 88% of spreadsheets contain errors. These mistakes don't just cause inconvenience; they lead to wrong decisions, failed audits, and financial losses.

The most damaging types of spreadsheet errors include:

• Missing rows — records accidentally deleted or not imported
• Duplicate entries — the same transaction recorded multiple times
• Inconsistent columns — different formats used across rows or files
• Incorrect calculations — numbers stored as text that won't sum
• Date format errors — mixed formats causing sorting and filtering failures
• Empty required fields — blank values in columns that drive analysis

Chilcy runs a comprehensive check across all rows and columns in your spreadsheet:

• Missing values — identifies blank cells in every column with percentage
• Duplicate rows — detects exact row duplicates that inflate totals
• Date format inconsistency — finds mixed date formats in the same column
• Numeric text — catches currency symbols and commas preventing calculation
• Data completeness — scores overall readiness for AI analysis

After detection, Chilcy\'s auto-fix resolves the most common issues instantly. For deeper cleaning, you can also review and fix issues manually before re-uploading.

Once errors are resolved, use Chilcy Sales Analysis or Business Insights to generate AI reports from your clean data.