Data quality and integrity are critical for ensuring that data is accurate, consistent, and reliable, which is essential for making informed decisions and maintaining trust in data-driven processes. Poor data quality can lead to incorrect analysis and insights, while compromised data integrity can result in unauthorized access or data corruption, both of which can have significant negative impacts on an organization.