Slowly changing dimensions is a methodological approach in data warehousing that addresses how changes to the descriptive attributes of dimension tables are managed and tracked over time. This concept investigates various techniques to handle temporal variations in data, which is crucial for maintaining historical data integrity and supporting accurate longitudinal analysis in business intelligence systems.