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Course Outline
- Data Quality Management
- Data Quality Management and the DAMA DMBoK Wheel for Government
- Goals and Business Drivers of Data Quality Management for Government
- Data Quality Overview
- Key Points and Definitions in Data Quality Management
- Understanding Data Quality Management
- Scenarios of Data Quality Management Implementation
- The Impact of Poor Data on Government Operations
- The Body of Knowledge for Data Quality Management in the Public Sector
- The Approach to Data Quality Management for Government
- A Simple Framework for Improving Data Quality in Government
- Measuring and Data Profiling
- Methods for Measuring Data Quality
- Evaluating Data Quality Through Profiling Techniques
- Common Outputs of Data Quality Profiling in Government
- Validation Rules for Monitoring Data Quality
- Data Quality Monitoring within the DQM Framework for Government
- Tools and Techniques
- Distinguishing Good Data Quality from Poor Data Quality in Government
- Data Quality Facets as Defined by DMBoK
- The Path to Achieving Accuracy in Government Data
- Understanding the Process of Data Correction for Government
- Clarifying the Process of Data Cleansing for Government
- Determining Appropriate Levels of Data Quality for Government Needs
- Avoiding Solely Fixing Data Without Addressing Root Causes
- Impacts and Dimensions
- Costs and Efforts Associated with Business Impact in Government
- The Multiple Dimensions of Data Quality for Government
- Data Quality Facets as Defined by DMBoK for Government
- DMBoK Dimensions of Data Quality for Government
- Applying Data Quality Dimensions in Government Operations
- Business Rules Governing Data Quality in Government
- The Relationship Between Data Governance and Data Quality in Government
- Measuring Data Quality in Government Agencies
- The Path to Achieving Accuracy in Government Data
- Characteristics of Data Quality Indicators (DQI) for Government
- Software Tools with Functional DQ Capabilities for Government
- Root Cause Analysis
- Addressing Root Cause Analysis Problems and Remediation in Government
- An Overview of Root Cause Analysis (RCA) for Government
- Identifying Associated Causes of Root Cause Analysis in Government
- The Process of Root Cause Analysis for Government
- Approaches, Assessments, and Roadmap
- The 5-Why Approach to Problem Solving in Government
- An Explanation of the Theory of Constraints for Government
- Common Data Quality Mistakes in Government Operations
- Financial Costs Associated with Poor Data Quality in Government
- Developing a Data Quality Roadmap for Government Agencies
- Maturity Assessment of Overall Data Quality in Government
- Wrap Up
- Key Takeaways from the Data Quality Management Course for Government
Requirements
CDMP Fundamentals for Government
21 Hours
Testimonials (2)
It's a hands-on session.
Vorraluck Sarechuer - Total Access Communication Public Company Limited (dtac)
Course - Talend Open Studio for ESB
I generally enjoyed the knowledge of the trainer.
