Mastering Data Quality Management for Business Success

About This Course

TGS-2025052525 – Classroom

Master the principles of data quality management with this course designed to help organizations achieve business success. Learn to apply the Total Data Quality Framework to ensure consistency and accuracy in research data analysis. Understand the key dimensions of data quality, identify potential threats, and drive synergies in data analyses across sectors and organizations to deliver impactful insights.

Dive deeper into measuring total data quality by exploring data quality rules, processes, and metrics to evaluate quality at every stage. Gain expertise in design strategies to maximize organizational data quality, from governance and assurance practices to data quality improvement techniques. Equip yourself with the skills to synthesize findings, evaluate research results, and implement best practices that ensure total data quality for informed business decisions.

Course Duration: 3 Days (9:00 AM – 6:00 PM)

Course Topics

Topic 1: The Total Data Quality Framework

What is data quality?
Why data quality is important?
Key data quality dimensions for total data quality framework
Potential threats to data quality along each of these dimensions.

Topic 2: Measuring Total Data Quality

Data quality rules
Data quality process
Metrics for evaluating data quality at each stage.
Create a quality concept map that tracks relevant aspects of operational processes.
Evaluate relative trade-offs between quality aspects, relative costs and practical constraints imposed by a particular project or study.
Metrics that can be computed to measure quality processes