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Last Updated: Jul 25, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Quality Governance | 15% | - Data Quality Roles and Responsibilities - Data Stewardship - Policies and Procedures - Continuous Monitoring |
| Topic 2: Data Quality Fundamentals | 20% | - Data Quality in the Data Lifecycle - Definition of Data Quality - Dimensions of Data Quality (completeness, accuracy, consistency, timeliness, validity) |
| Topic 3: Data Quality Improvement | 20% | - Validation Rules - Data Enrichment - Standardization - Data Cleansing Techniques |
| Topic 4: Data Quality Frameworks and Standards | 20% | - DAMA DMBOK Framework - Other Industry Standards - ISO 8000 (Data Quality) |
| Topic 5: Data Quality Assessment and Measurement | 25% | - Profiling Techniques - Benchmarking - Root Cause Analysis - Metrics and KPIs |
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