Automate File Formatting for Consistent Data Processing
Flat File Standardization
Ensure Uniformity Across Flat File Data
Standardize schemas, correct format mismatches, and apply cleansing rules to ensure flat file data is structured and ready for processing
Ensures Uniform Structure
Converts inconsistent file formats into structured, standardized formats
Reduces Processing Failures
Prevents ingestion errors by ensuring compliance with data contracts
Automates Data Parsing
Eliminates manual intervention in file cleaning and formatting
Improves Data Readiness
Ensures datasets are structured correctly for downstream applications
Unified Data Ingestion from Any Source
Vexdata seamlessly ingests data from any file format (CSV, Excel, JSON, XML, etc.) and any storage location, including cloud storage, network drives, and SFTP. No matter where your data resides, our platform ensures smooth integration into your data pipeline
Automated Column Name Standardization
Incoming data often contains inconsistent or invalid column names, making integration difficult. Vexdata automatically detects, renames, and aligns columns to match the expected data schema, ensuring uniformity across datasets
Intelligent Data Transformation for Non-Standard Values
Data inconsistencies, such as abbreviations (NC instead of North Carolina), can lead to errors in reporting and analytics. Our system intelligently recognizes, maps, and transforms such non-standard values to their correct, standardized formats
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Key Features
Mandatory Data Validation & Missing Value Handling
Missing critical fields like names, IDs, or dates can disrupt downstream processes. Vexdata enforces mandatory data rules, automatically fills missing values when possible, and flags or separates incomplete records for user review
Configurable Bad Data Highlighting & Email Alerts
Users can configure bad data detection rules, and our system will highlight problematic columns with color coding for easy identification. Additionally, an automated email notification alerts users about detected issues, ensuring prompt resolution
Smart Data Cleansing & Good/Bad Data Segmentation
Smart data cleansing automatically detects and corrects inconsistencies, missing values, and formatting issues to ensure high-quality data. When errors cannot be fixed, the system intelligently segments data into Good and Bad datasets, allowing users to process clean records while reviewing and addressing problematic ones separately