Data Profiling

Data profiling is the process of examining and analyzing data to understand its structure, quality, and content. Think of it as an audit for data: it helps identify patterns, anomalies, and inconsistencies within datasets. By assessing aspects like accuracy, completeness, and validity, organizations can ensure their data is reliable and useful for decision-making. Essentially, data profiling allows businesses to know their data better, leading to improved operations, enhanced reporting, and more informed strategic choices.