Verify your data through user-friendly interface for cases where data recognition level is below the defined threshold. Leverage automated data-cross checking capabilities to increase data accuracy rate. Apply granular access control functionality to validate data only by authorized users. Manage your exceptions more efficiently by leveraging automated queue management capabilities
Data Extraction and Data Validation
Extract, Recognize and Validate your data leveraging advanced automated capabilities
Ensure data consistency with robust verification capabilities in elDoc - AI powered Intelligent Document Processing Solution
Data Validation capabilities in elDoc
Leverage automated data cross-checking and verification capabilities in elDoc to improve your data accuracy
Automated data cross-checking
You can cross-check the extracted data with predefined or referenced values, verify that line items sum up to a total, etc.
Automated data standardization
You can standardize and unify your extracted data e.g., by converting the diversified date formats to a single target format
Exceptional cases validation
You can validate exceptions via user-friendly interface by correcting or rejecting the captured data with further record tracking
Data validation by authorized users
You can protect your data by restricting access to authorized users. Only authorized users will be permitted to validate data where necessary
Automated validation queue management
You can segregate validation workflows based on document origin. Automated document locking while another user is working on the same document
Automated validation tracking and audit
You can review all actions performed in respect to validation. All validated or rejected documents are routed according to the workflow and stored in centralized document archive
Why data validation is important?
Data validation is a crucial step in scope of Intelligent Document Processing as it ensures that business can completely trust the data. Requirements to data validation is driven by specific business needs. Most of the captured data could be validated via automated mode by enabling cross-checking and verification capabilities. Data validation via human in loop is mostly applied when data recognition level is below the defined threshold. Data validation is a proactive way to safeguard one of your most valuable assets
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