Data hygiene refers to the ongoing process of keeping CRM data clean, accurate, and up-to-date. Poor data hygiene?such as duplicate records, outdated contact information, and incomplete customer profiles?can negatively impact marketing campaigns, sales efforts, and customer service interactions. Organizations maintain data hygiene through regular deduplication, validation, and enrichment processes. AI-powered tools can detect anomalies, flag inconsistencies, and suggest corrections, reducing the likelihood of manual errors. Good data hygiene ensures that businesses are working with high-quality data, leading to more effective decision-making, improved customer experiences, and higher conversion rates. A well-maintained CRM database also enhances automation, enabling accurate lead scoring, segmentation, and personalization. Regular audits, integration with reliable data sources, and standardized data entry practices help organizations maintain data hygiene and maximize the value of their CRM system.