Challenges of Data Stewardship
How Data Stewardship Service can Benefit Businesses
Types of Data Stewardship
Data Quality Management
Identify and rectify data quality issues, ensuring high-quality and reliable data.
Data Cleansing and Enrichment
Cleanse and enrich data to eliminate duplicates, inconsistencies, and enhance data completeness.
Data Privacy and Security
Implement measures to protect sensitive data, ensuring compliance with privacy regulations.
Data Governance and Compliance
Establish data governance frameworks, ensuring compliance with regulations and industry standards.
Metadata Management
Organize and manage metadata to improve data discoverability and understanding.
Master Data Management
Establish and maintain a single source of truth for critical master data, enabling effective data integration and synchronization.