Data quality management aims to assure accuracy, consistency, and reliability of data used in analytics. High-quality data is essential as it directly impacts decision-making, reporting, and overall business outcomes. Effective data quality management processes involve data cleansing, validation, and ongoing monitoring to prevent errors and ensure that analytics deliver insights reflecting the true state of the business. As organizations increasingly rely on data-driven strategies, ensuring exceptional data quality becomes paramount for analytics success.