Regular audits are crucial for maintaining data hygiene by identifying inaccuracies, inconsistencies, and gaps in the data. Data governance policies and procedures ensure that data quality is maintained across the organization, including defining data standards, roles, and responsibilities. Setting clear data standards helps resolve ambiguity issues and establish constraints to prevent corrupt or unusable data. Automated data cleansing processes are necessary due to the size and complexity of data formatting, while updating data frequently in real-time ensures accuracy and relevance. Integrating databases and aligning teams on data accuracy and standards is also essential for maintaining high-quality customer records. Effective data hygiene practices enhance decision-making, improve operational efficiency, reduce costs, and ensure compliance with regulatory requirements, ultimately leading to better customer experiences and business outcomes.