Data Quality and Governance provides a comprehensive framework for understanding and implementing data quality management practices within organizations. Participants will engage in hands-on projects that emphasize the importance of data accuracy, consistency, and reliability, essential for informed decision-making and operational efficiency. The course integrates theoretical concepts with practical applications, allowing learners to develop robust data governance strategies tailored to their organizational needs.
Throughout the program, participants will explore various methodologies and tools that facilitate data quality assessment and enhancement. The interactive nature of the course encourages collaboration and knowledge sharing, culminating in a final project that demonstrates the application of learned principles in a real-world context. By the end of the course, attendees will be equipped with the skills necessary to lead data quality initiatives and governance frameworks, ultimately contributing to their organization’s success.
Introduction to Data Quality Concepts
Data Governance Frameworks and Best Practices
Data Profiling Techniques
Data Quality Assessment Metrics
Data Cleansing and Transformation Processes
Implementing Data Stewardship Roles
Data Lineage and Impact Analysis
Tools for Data Quality Management
Case Studies in Data Governance
Final Project: Developing a Data Quality Improvement Plan