Establish data quality standards and implement data quality monitoring and improvement processes. Regular data profiling, cleansing, and validation activities help maintain data accuracy, completeness, and consistency. Incorporate data privacy and security measures into the Data Governance framework. Implement data access controls, encryption, and anonymization techniques to protect sensitive information and comply with relevant regulations. Foster open communication and collaboration between business and IT stakeholders. Effective communication ensures that data governance objectives are understood, and collaboration helps bridge the gap between business requirements and technical implementation.
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