The term "data profiling" in data management refers to the analysis and assessment of data sources to gather insights about their structure, quality, and content. This process helps organizations understand data characteristics, including patterns, correlations, and anomalies, facilitating better decision-making and data governance. By identifying inconsistencies and gaps, data profiling supports efforts in data cleansing and enhances data integration. Ultimately, this practice improves data quality, making it more reliable for analytical and operational purposes.