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Duration 21 hours
Course Outline
- Data Quality Oversight
- Data Quality Oversight and the DAMA-DMBOK Framework
- Strategic Objectives and Operational Drivers for Data Quality Oversight
- Data Quality Fundamentals
- Core Principles and Terminology in Data Quality
- Defining Data Quality Oversight
- Operational Scenarios for Data Quality Oversight
- Consequences of Substandard Data
- The Knowledge Base for Data Quality Oversight
- Methodological Approaches to Data Quality Oversight
- A Structured Framework for Enhancing Data Quality
- Assessment and Data Profiling
- Quantifying Data Quality
- Evaluating Data Quality via Profiling
- Standard Deliverables from Data Quality Profiling
- Validation Rules for Monitoring Based on Rules
- Data Quality Monitoring within the DQM Framework
- Instruments and Methodologies
- High-Quality Data vs. Low-Quality Data
- Data Quality Attributes (DMBOK)
- Pathways to Data Accuracy
- Comprehending Data Remediation
- Simplifying Data Cleansing Processes
- Determining Required Data Quality Standards
- Addressing Systemic Issues Beyond Data Correction
- Impacts and Dimensions
- Costs and Efforts Related to Business Impact
- Multiple Dimensions of Data Quality
- Data Quality Attributes (DMBOK)
- DMBOK Dimensions of Data Quality
- Applying Data Quality Dimensions
- Business Rules Governing Data Quality
- Relationship Between Data Governance and Data Quality
- Quantifying Data Quality
- Pathways to Data Accuracy
- Attributes of Data Quality Indicators (DQI)
- Software Tools: Functional Data Quality Capabilities
- Root Cause Analysis
- Root Cause Analysis (RCA) Issues and Remediation
- Definition of Root Cause Analysis
- Underlying Causes in Root Cause Analysis
- The Root Cause Analysis Process
- Strategies, Evaluations, and Roadmap
- The 5-Why Methodology
- Concept of Theory of Constraints
- Common Errors in Data Quality Management
- Financial Implications of Data Quality
- Developing the Data Quality Roadmap
- Overall Maturity Assessment of Data Quality
- Conclusion
- Primary Insights
Requirements
CDMP Fundamentals
Testimonials (2)
The variety of the information shared and the clarity to explain terms in plain English.
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It's a hands-on session.
