Data Quality Management

• Conduct data quality assessments and audits

• Implement data cleansing, deduplication, and enrichment processes.

• Monitor and maintain data quality on an ongoing basis.

Data Governance

• Establish data governance frameworks and policies.

• Ensure compliance with relevant regulations and standards.

Training and Upskilling

• Provide training programs for employees on best data management practices.

• Conduct workshops and seminars on emerging data technologies.