Scenario: You are tasked with assessing the quality of a large dataset containing customer information. Which data quality assessment technique would you prioritize to ensure that the data is accurate and reliable?

Data profiling involves analyzing the structure, content, and relationships within the dataset to identify anomalies, inconsistencies, and inaccuracies. By prioritizing data profiling, you can gain insights into the overall quality of the dataset, including missing values, duplicates, outliers, and inconsistencies, which is crucial for ensuring data accuracy and reliability.