Data wrangling is an essential step in preparing data for analysis, while ETL (extract, transform, load) processes provide a more efficient way of managing data warehouses. ETL allows you to create a uniform structure for your data, which makes it easier to analyze. It also helps you to identify and correct errors in your data sets.