Scenario: You are working on a project where data quality is paramount. How would you determine the effectiveness of the data cleansing process?

Determining the effectiveness of the data cleansing process involves measuring various data quality metrics such as completeness, accuracy, consistency, and timeliness. Comparing data quality metrics before and after cleansing helps assess the impact of cleansing activities on data quality improvement. Data profiling and outlier detection identify anomalies and discrepancies in the data. Soliciting feedback from stakeholders provides insights into their satisfaction with the data quality improvements.