Data Quality, Mapping, and Transformation Questions

Understand data quality concepts: completeness, accuracy, consistency, timeliness, and validity. Know how to identify and address data quality issues. Understand data mapping: matching fields across systems, handling different naming conventions, data type conversions, and field transformations. Be familiar with concepts like null value handling, duplicate detection, and data validation rules. Understand that poor data quality cascades through marketing systems.