Poor data quality often arises from human error, such as incorrect data entry or inconsistent formats. Outdated systems and lack of standardization across platforms can make these issues worse. Integration challenges between different systems also contribute to data discrepancies. The root causes of poor data quality are typically a combination of human factors and technological limitations