This document provides tips and best practices for cleaning up and maintaining a clean database. It discusses identifying dirty data through data mapping and assessment. Techniques presented for scrubbing data include using standards to prevent errors, spell check, function keys, security groups and search/replace functions. SQL scripts are demonstrated for updating object names, migrating text entries and monitoring changes through audit trails and usage reports. The importance of ongoing monitoring and creating a culture that values data quality is emphasized.