ETL data pipelines provide the foundation for data analytics and machine learning workstreams. Through a series of business rules, ETL cleanses and organizes data to address specific business intelligence needs, such as monthly reporting—but it can also tackle more advanced analytics, which can improve back-end processes and end-user experiences.