The term 'data quality management' refers to the systematic approach of ensuring the accuracy, consistency, and reliability of data within business intelligence initiatives. This involves establishing data quality standards and implementing processes for data profiling, cleansing, and validation. Effective data quality management helps organizations make informed decisions based on trustworthy data, minimizes errors, and enhances overall operational efficiency. By focusing on data integrity, businesses can improve their analytics and reporting capabilities, leading to better strategic outcomes.