Data Profiling
Before transforming or enriching data, an organisation should assess the data's accuracy, completeness, and validity. In data quality evaluation, it measures three things: uniqueness, consistency, and logic. some of the key questions for efficient and effective data profiling are:

Is the dataset complete? Are there any null values or blank rows?
Is each record unique, or are there duplicates?
Are there patterns in the data that can anticipated?
What is the range of the data values? What about total negative value records?
Are the minimums, maximums, averages & total what was expected?