Data profiling is the process of analyzing and examining datasets to assess their quality, structure, and consistency. It involves measuring various attributes like data types, formats, completeness, uniqueness, and distribution to identify anomalies, errors, or inconsistencies.
Effective data profiling helps businesses understand their data before using it for analysis or integration. By detecting quality issues early, organizations can improve data accuracy, enhance decision-making, and ensure reliable insights for analytics, reporting, or machine learning projects.