Eliminate Errors and Duplicates for High-Quality Data
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Flat File Cleansing
Ensure Clean and Standardized File-Based Data
Automatically identify and correct formatting errors, inconsistencies, and duplicates across flat file data sources to improve accuracy
Removes Duplicates Automatically
Identifies and eliminates redundant records before processing
Fixes Missing & Corrupt Fields
Fills gaps in datasets for reliable analysis
Speeds Up Data Preparation
Reduces the need for manual cleanup efforts
Ensures Compliance
Cleans sensitive data fields for GDPR, HIPAA, and SOC2 compliance
Intelligent Data Deduplication
Removes duplicate records and redundant data for clean datasets
Null and Missing Value Handling
Fills missing fields based on predefined rules or machine learning
Data Type and Format Correction
Standardizes inconsistent date, number, and text formats
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Key Features
PII & Sensitive Data Masking
Redacts or anonymizes sensitive information for compliance
Data Integrity Checks
Verifies relationships and dependencies between file data
Automated Cleaning Pipelines
Runs scheduled cleansing workflows without manual intervention