You opened a spreadsheet and immediately saw the problems. Some dates are in MM/DD/YYYY format, others are in DD/MM/YYYY. Customer names have inconsistent capitalization. There are blank rows scattered throughout. And you're pretty sure some entries are duplicated.
Messy data is everywhere. It comes from multiple sources, manual entry, exports between systems, and people who don't follow consistent formatting rules. Before you can analyze anything, you need to clean it up.
Most messy spreadsheets share the same issues:
Fixing these issues by hand means scrolling through hundreds or thousands of rows, hunting for problems one at a time. You filter for blanks, find duplicates, standardize formats, and hope you didn't miss anything.
One mistake during cleaning can corrupt your data further. And when someone sends you a new version of the spreadsheet, you start all over again.
Queryly handles data cleaning automatically. Upload your messy spreadsheet and tell it what needs fixing.
Try prompts like:
Queryly analyzes your data, identifies all issues, and applies fixes while preserving the integrity of your information. You can review the changes before they're applied.
When you upload a file to Queryly, it automatically runs a health check that identifies quality issues across your entire dataset. This gives you a clear picture of what needs attention before you even ask a question.
The health check covers missing values, duplicates, format inconsistencies, and potential outliers. It's like having a data quality audit in seconds instead of hours.
Clean data leads to better analysis. Stop wrestling with spreadsheets and let the cleaning happen automatically.
Try Queryly Free →