Data sampling analysis

Schema metadata alone cannot reveal business meaning. A column named status could contain order states, customer segments, or approval workflows. AnswerLayer samples actual data to understand:

• Statistical distributions — Cardinality, null rates, value frequencies
• Data types — Beyond declared types to actual content patterns
• Relationships — Foreign key patterns even when not declared
• Business context — Naming patterns, value semantics, temporal patterns

Sampling is configurable. Data never leaves the database—analysis happens through queries, not data export.