Description

• Deep scanning for incorrect values, typos, broken formats, and inconsistencies

• Correction of invalid characters, misplaced symbols, and corrupted fields

• Fixing logical errors (wrong ages, negative amounts, incorrect timestamps, etc.)

• Rebuilding structured fields to ensure accuracy and integrity

• Validation of corrected data to guarantee reliability

• Delivery of a clean, accurate dataset ready for systems and BI tools