Data mining aims to discover previously unknown patterns and explain observed phenomena in data. It's about finding insights that weren't explicitly sought (explaining why something happened). Confirming data existence is trivial, analyzing for 'expected' relationships is standard reporting, and data warehouse creation is an ETL task, not mining.