What does data profiling involve?

Data profiling involves collecting statistics and information about existing data to understand its structure, quality, and meaning. This process helps organizations assess their data assets, identify potential issues such as missing or inaccurate data, and gain insights into data distributions and relationships. By conducting data profiling, organizations can improve data management practices, enhance data quality, and ensure that the data meets the needs of various business applications.

This activity is critical for establishing a solid data governance foundation and informs decision-making processes regarding data-related projects, such as data integration, migration, and analytics. Data profiling serves as a crucial step in data management that helps organizations leverage their data effectively.