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Data Quality
- Data Cleansing: Identify and correct inaccurate or incomplete data.
- Data Enrichment: Enhance data by adding additional information from external sources.
- Duplicate Detection: Identify and merge duplicate records.
- Data Validation: Ensure data meets predefined standards and criteria.
- Data Integration: Integrate data from various sources for a unified view.
- Data Governance: Define policies and procedures for managing data quality and compliance.
- Master Data Management (MDM): Create a single, accurate view of critical business data.