Introduction
Verify transforms validation workflows by ingesting any number of TLF output files, supporting documents such as list of tables (LoT), mock shells, and ADaM datasets, and converting them into a dynamic database. This enables Verify to perform automated validation checks that would otherwise require double programming plus manual review to identify, and supports early-stage remediation of errors and discrepancies.
Verify’s extensive library of AI-enabled validation checks include:
- Format Checks, which validate format, titles and footnotes, and TLF structural characteristics.
- Reference Checks, which validate consistency of TLFs against reference documentation such as mock shells and TOCs.
- Within-Table Checks, which validate arithmetic and hierarchies within TLFs.
- Cross-Table Checks, which ensure cross-table consistency.
- Table vs. ADaM Checks, which validate TLFs using ADaM datasets.
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