The "T" in ETL is important here. You might not care but the end users of that data should. It's very easy to take raw data and strip it of a lot of useful info

The "T" in ETL is important here. You might not care but the end users of that data should. It's very easy to take raw data and strip it of a lot of useful information by transforming and normalizing it. The person doing modeling or data analysis should ideally be dealing with the raw data, know how it was collected and understand what each field really means.