Data Profiling

Data profiling is the entry point for understanding data quality. Field-level missingness, uniqueness patterns, unexpected values, distribution shapes, and schema violations become visible through this process. Without profiling, data issues are often discovered too late, when remediation is more costly. For that reason, profiling is not merely exploratory analysis; it is a preventive diagnostic mechanism for quality management. A strong profile produces measurable insight rather than intuition alone.