Structural validation
Inspect variables, types, duplicate records and dataset structure.
DATA QUALITY
Understand the dataset before trusting the analysis.
Research datasets can contain missing values, structural problems, inconsistent types and study-specific validity issues. VERQENT is building workflows designed to surface those findings before interpretation.
QUALITY PIPELINE
01Structure
02Missingness
03Types
04Ranges
05Consistency
06Findings
QUALITY BEFORE ANALYSIS
Make problems visible before they influence conclusions.
Study-aware rules
Combine general checks with constraints defined by the research context.
Audit-ready findings
Preserve quality findings so later analytical decisions can be reviewed.
VERQENT AUDIT