Checks included
- Row counts, columns and empty cells
- Exact duplicate rows
- Mixed numbers, dates and text in the same column
- Suspicious columns with identical values
02 · Data preparation
Find missing values, duplicate rows and inconsistent column types before importing customer, stock, order or historical records into a system.
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How it works · Before importing
Migration problems often start with inconsistent field meanings, missing key values or non-unique identifiers. This basic check helps estimate the cleanup needed before import.
Use CSV or TSV exported from Excel, particularly before migrating into CRM, ERP, inventory or project systems. Files are read locally and are not uploaded to Jianxu Digital.
The tool counts empty values and data types by column, checks exact duplicate rows and flags columns with repeated values. It highlights possible issues without deleting, merging or changing source data.
After this check, confirm unique identifiers for customers, products and orders. Map old fields to the new schema, then validate small trial imports, reconciliation and rollback.
This version does not read XLSX formulas, merged cells or relationships between worksheets, or detect approximate business duplicates. Mask sensitive data first. A migration still needs source backups, cleanup rules and an import audit trail.
Designed and maintained by the Jianxu Digital technical team · Updated July 27, 2026